601 Mathematics， Statistics & Information Sciences in ES lowest at $9600.0+ | ok.com

Browse

Property For Sale

Property For Rent

Antiques Collectibles

Baby Kids Items

Books， Movies And Music

Home Improvement Supplies

Musical Instruments

Office Supplies

Home Improvement

Repair And Technical Support

Writing， Translation， And Transcription

Administration & Office Support

Advertising， Arts & Media

Banking & Financial Services

Call Center & Customer Service

CEO & General Management

Community Services & Development

Consulting & Strategy

Design & Architecture

Education & Training

Farming， Animals & Conservation

Government & Defense

Healthcare & Medical

Hospitality & Tourism

Human Resources & Recruitment

Information & Communication Technology

Manufacturing， Transport & Logistics

Marketing & Communications

Mining， Resources & Energy

Real Estate & Property

Retail & Consumer Products

Science & Technology

Self Employment

Sport & Recreation

Trades & Services

Activities & Groups

Artists & Musicians

Classes & Lessons

Friendship & Networking

Travel & Travel Partners

Skills & Language Swap

···

Log in / Register

Mathematics， Statistics & Information Sciences in Spain

Best Match

Filter·1

Mathematics， Statistics & Information Sciences

Location

Salary

Job Type

Workplace type

Unit

Category:Mathematics， Statistics & Information Sciences

Machine Learning Engineer - Computer Vision64665716504577120

Machine Learning Engineer - Computer Vision

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. **YOUR ROLE** * The position involves developing and deploying cloud\-based computer vision systems that operate reliably at scale. Responsibilities include engineering both real\-time and batch vision solutions — from training deep learning models to serving them through scalable cloud APIs. * The role focuses on transforming AI models into production\-ready services for on\-premises and cloud environments, ensuring performance, security, and cost efficiency, and enabling applications in industries such as manufacturing, security, healthcare, and retail. * Design, train, and optimize computer vision models for production use cases (object detection, image segmentation, OCR, video analytics, etc.). * Package and deploy AI models to cloud environments for scalable, high\-availability services. * Implement pipelines for data ingestion, preprocessing, and inference in the cloud. * Work closely with product and engineering teams to integrate AI features into customer\-facing applications. **YOUR PROFILE** * Bachelor’s or Master’s in Computer Science, Engineering, or related field. * Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow). * Hands\-on experience with at least one cloud platform (AWS Sagemaker, Azure Machine Learning, Google Vertex AI, etc.). * Experience building and deploying ML models using Docker, Kubernetes, or serverless services. * Solid understanding of computer vision algorithms and real\-world performance challenges. * Familiarity with traditional machine learning methods (SVMs, decision trees, clustering, feature engineering). * At least 5 years of experience in a similar role involving computer vision and AI/ML deployment. * Experience with streaming/video analytics in the cloud. * Knowledge of CI/CD for ML (MLOps). * Exposure to Generative AI techniques and concepts. **WHAT YOU'LL LOVE ABOUT WORKING HERE** * Join a multicultural and inclusive team environment. * Enjoy a supportive atmosphere promoting work\-life balance. * Engage in exciting national and international projects. * Hybrid work. * Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and certifications programs. * Health and life insurance. * Referral program with bonuses for talent recommendations. * Great office locations. **ABOUT CAPGEMINI** Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 335532\-en\_US Posted on 25 Nov 2025 Experience level Experienced Professionals Contract type Fixed Term Contract Location VNG \- Cais de Gaia, Fundão, Lisboa \- Expo Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

WWG6+35 Gaià, Spain

Negotiable Salary

Data Engineering Lead W/M64665712947074121

Data Engineering Lead W/M

* Avenida Infante D. Henrique, Lote 320, Edifício IDB Lisbon, 3º Piso, LISBOA, PT, 1800\-220; MADRID * INFORMATION TECHNOLOGY * 3519 * GO\_PT\_3\.Senior * Amandine HERBIN * 29/05/2025 **Job Description** ------------------- **About AXA** As a world\-leading insurance company, we act for human progress by protecting what matters. With 153,000 employees in 54 countries working for 105 million customers, we’ve created a truly dynamic and vibrant community. Inclusion and diversity link closely with our values, and together we’re nurturing a culture of respect, for each other, for our customers and the communities around us. Join AXA and you’ll feel like you belong, are included and can thrive. You’ll be able to shape the way you work and truly grow your potential as you seek out new opportunities, push boundaries and benefit people in critical moments of their lives. This is your chance to build the tomorrow you want. Know you can. **About the entity** AXA is becoming a sustainable tech\-led company and at AXA Group Operations we are one of the major catalysts for this transformation. We set the tone by triggering and empowering the evolution of our insurance business model through technology and innovation, driving its concrete implementation globally at speed, with a high quality of advisory and execution. We are present across 17 countries with committed, highly qualified teams. We leverage technology, data, sourcing, security and investment allocation in a global way, but also achieve economies of scale and synergies when necessary. At AXA Group Operations, we want to be recognized in three fields of action:* State\-of\-the\-art Data Technology to drive customer experience * State\-of\-the\-art Procurement \& Sourcing to drive efficiency and better manage risks * High\-Performing Global Team for stronger partnerships with AXA entities **Where will you be in the organization?** **The division** Group Technology Operations (GTO) aims at designing, developing, and operating Global AXA IT products, delivering them to AXA Entities and the AXA Group, at the right level of quality of service and cost and aligned with business\-driven priorities. Its missions can be summarized in four main activities: global product delivery, global product portfolio management, day\-to\-day operations management, and entities proximity management. **The department / team** You will join the Global Service Operations Departement, within Group Technology Operations (GTO) Division. Our department manages day\-to\-day IT service delivery for AXA on a global scale, in partnership with Group Operations (GO) Global Products Departments, AXA Entities and our external suppliers, in accordance with GO IT Operations Framework, contract requirements, SLAs (Service Level Agreement) and OLAs (Operational Level Agreements) and Security Instructions. **About the job** **Main missions :** * The Data Engineering Lead is responsible for developing, maintaining, and optimizing data pipelines and technical components of the Cockpit Data Factory. * This role involves collaborating with various teams to ensure that data factory aligns with the product vision, customer needs, and market trends. * The Data Engineering Lead designs, develops, and implements data ingestion, transformation, and storage solutions, ensuring they are secure, scalable, and easily maintainable. * They understand stakeholders’ requirements and translate them into technical solutions, identifying opportunities to optimize and improve data processes. * The Data Engineering Lead contributes to the technical readiness of the Cockpit team, sharing his knowledge and identifying rooms for collective improvement. **DIMENSION OF ROLE** * The Data Engineering Lead manages data pipelines and infrastructure, leading a team of data specialists and collaborating with counterparts from multiple AXA GO products and AXA entities. * They ensure that all data requirements are met and contribute to answering data needs, fulfilling Quality of Service requirements in various AXA GO and Opcos business areas. Additionally, they contribute to increasing the maturity of GO and Opcos in terms of data management and quality of service measurement. Finally, they define the roadmap of Cockpit Data Factory in line with the vision of the product and the priorities of AXA GO. **Technical expertise :** * In\-depth technical knowledge of Data Engineering tools and technologies (e.g., Databricks, Azure Data Lake, PySpark, Azure Analysis Services). * Ability to design and implement data solutions that meet stakeholder needs and are secure, scalable, and easily maintainable. * Expertise in PowerBI data visualization tool * Knowledge of performance monitoring tolls is well appreciated. **Leadership :** * Lead a team of data specialists to implement projects, improvements, and modifications to data solutions. * Provide technical guidance and oversight to ensure that projects are completed on time, within scope, and to the required standard. * Foster a culture of innovation and continuous improvement within the team. **Communication :** * Collaborate effectively with stakeholders (including business analysts, project managers, and other technical teams) to understand requirements and translate them into technical solutions. * Communicate technical concepts to non\-technical stakeholders in a clear and understandable manner. * Work collaboratively with other teams and individuals to achieve common objectives and resolve cross\-functional issues that arise. **Problem\-solving :** * Proactive identification of potential issues and their resolution, including researching and testing solutions. * Analyze complex technical problems and provide practical solutions. * Troubleshoot and debug issues on the platform and propose solutions for their resolution. **Strategic thinking :** * Provide input in data strategy and long\-term planning and identify areas for optimization and improvement. * Conduct analysis to inform evidence\-based decision\-making and promote continuous improvement of data solutions. * Able to balance business goals with technical feasibility. **Mentoring :** * Coach and mentor junior team members to ensure they can meet technical objectives and grow professionally. * Create and lead training programs on Data Engineering tools and technologies. * Foster a culture of knowledge sharing and documentation. **Expertise on Cockpit Data Factory Platform** * Lead technical activities related to data pipeline delivery. * Define and implement data pipeline configurations. * Maintain up\-to\-date documentation (design, architecture \& procedures). * Regularly review and optimize data pipeline performance to ensure optimal usage of resources and cost\-effectiveness. * Implement upgrades, patches, and other enhancements. * Contribute to the definition and the roadmap of data solutions. * Ensure the application of security, risk, and data privacy compliance. * Communicate with data tool vendors. **Build of Data aggregation, analysis and reporting** * Assess GO and Opcos’ products’ needs in terms of data management and processing. * Design and implement appropriate data solutions to onboard new scopes to Cockpit Data Factory * Contribute to the end\-to\-end data view by providing metrics and insights related to covered scopes. **Transformation/Innovation** * Contribute to building the data solutions roadmap in line with Global Product’s vision and with AXA GO strategy and priorities. * Perform continuous improvement and market/technology watch. * Apply IT transformation in line with GO priorities (Agile, Digital). * Participate in different transformation and accelerator initiatives or programs. **About you** **MANAGERIAL SKILLS** * Leadership and Team spirit * Strategic Vision (Market watch, Product’s Technical Roadmap, Benchmark) * Intrapreneurship * Coordinating international teams (Offshore/Nearshore) * Collaboration with GO departments, AXA entities, and external partners * Communication / Presentation / Negotiation / Influence / Persuasion * Continuous improvements and adopting innovations. **TECHNICAL SKILLS** * Strong understanding of Data Engineering tools, techniques, and methodologies. * Strong experience in Databricks, Azure Data Lake, PySpark, Azure Analysis Services. A certification is appreciated. * Python scripting, knowledge of data integration tools. * Scrum Agile and DevOps methodology * Project management skills. * Familiarity with cloud computing environments and emerging trends in the industry. * Strong general knowledge in IT and data architecture, from data ingestion to visualization. **NON\-TECHNICAL SKILLS** * Product ownership for data platforms * Project and solution delivery according to the project organization (Cycle V, AGILE, Scrum, Kanban, DevOps) * Technology and market watch (Data Engineering, digital, big data) * Knowledge in compliance, security, and data privacy aspects * Nice to have: Insurance business **LANGUAGE SKILLS** * English (Fluent) * French (Nice to have) * Spanish (Nice to have) **What we offer** We bring together the expertise, cultural diversity and creativity of over 8,000 employees worldwide and we’re committed to equal opportunities in all aspects of employment (gender, LGBT\+, disabled persons, or people of different origins) and to promoting Diversity \& Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.

Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain

Negotiable Salary

Global Clinical Program Lead64665712964354122

Global Clinical Program Lead

**Introduction to role:** ------------------------- Are you interested in pushing the boundaries of science and transform the lives of patients living with cancer? As a Global Clinical Program Lead, you'll be accountable for a significant portion of a late development oncology clinical program. This role involves managing complex clinical studies, often requiring collaboration with third parties, and demands strategic thinking and entrepreneurial spirit to maintain a competitive edge. You'll work closely with study physicians to design, conduct, monitor, and interpret data from clinical studies, ensuring they meet global market needs. As a catalyst for new ways of working, you'll lead process improvement projects and mentor staff, shaping the future of oncology clinical development. **Accountabilities:** --------------------- * Overall clinical and scientific content for the product or indication(s) aligned to GPT strategy. * Sets team vision and goals aligned to TALT and product strategy. * With the DCD, ensure the CPT rapidly implements new processes, systems, and learning. * Prioritization of clinical activities within the clinical program and ensures forward\-looking risk mitigation strategies. * Promotes cross\-functional, proactive, and solutions\-oriented team actions through end\-to\-end knowledge of oncology drug development. * Enables quick and effective troubleshooting within the CPT and its associated sub\-teams. * Mentors individual team members as needed, building future AZ talent through the matrix team model. * Single point accountable leader for the design, delivery, and interpretation of clinical studies ensuring ethical and scientific integrity. * Accountable for late phase study designs and study design concept delivery within their assigned oncology program of studies. * Provides strategic clinical and scientific knowledge to Study Physicians for initiation, execution, and completion of clinical studies. * Represents the company and delivers clinical information/answers to Regulators, Ethic Committees, Marketing Companies, investigators/sites. * Provides strategic clinical and scientific knowledge into development decision points/TPP/TPC and target labeling. * Works as a delegate of the Global Clinical Head across several oncology studies. * Can be the clinical representative on Global Product Teams for the assigned part of the program. * Ability to form and maintain an excellent reputation outside of AZ. * Trial conduct and hands\-on delivery accountabilities * Accountable to GCH or delegate for significant clinical aspects and design/delivery of studies. * Collaborates seamlessly with global colleagues at other R\&D sites. * May be accountable for identifying risks and proposing mitigation strategies for successful Phase II, III or IV studies. * Scientific clinical analytical accountabilities * Maintains up\-to\-date knowledge of relevant scientific literature. * Delivers analyses of clinical data in a balanced and statistically robust manner. * Functional and Project Leadership * Significant role in shaping the function through idea generation and leading improvement projects. * Seen as a role model in their function, providing hands\-on coaching and mentoring to staff. **Essential Skills/Experience:** -------------------------------- * Life Science\-based degree at masters or above (i.e. M.D., PHD, PharmD, Masters in Life Science\-based area) * 7\+ years clinical research expertise in oncology clinical development including study design, protocol development, monitoring and implementing clinical trials, interpreting and reporting trial results * Strong knowledge and understanding of the Oncology therapeutic area with experience in diverse biological mechanisms. * Proven track record of successful clinical delivery with demonstrated examples of strategic influence to clinical studies/programs * Explores positions and alternatives to reach agreements and solutions. Presents clear arguments to gain acceptance of ideas and influences outcomes to meet organizational objectives * Good knowledge of biostatistics, Clinical Development, global regulatory environment and pharmacovigilance and working knowledge of medical affairs and payer environment * Proven cross\-functional teamwork and collaboration skills * Excellent presentation skills. Can communicate effectively with internal and external collaborators **Desirable Skills/Experience:** -------------------------------- * MD \& PhD (or other complementary degree) in scientific discipline * Strong general medical knowledge * An understanding of pharmaceutical industry R\&D, particularly of major clinical milestones and factors influencing drug development * An understanding of the interplay between clinical, commercial objectives, drug safety, and regulatory requirements * Demonstrated ability to lead, coach, and mentor junior physicians/scientists When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life\-changing medicines. In\-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll be part of a pioneering team dedicated to transforming cancer treatment through innovative approaches. With one of the broadest Oncology pipelines in the industry, you'll have opportunities to work on novel drugs that make a real difference in patient outcomes. Our collaborative environment fosters courage and curiosity, empowering you to take smart risks and challenge norms. We embrace diverse perspectives to tackle tough medical challenges together. Ready to make bold moves in oncology? Apply now to join our mission\-driven team!

Carrer de Joan Güell, 114, Les Corts, 08028 Barcelona, Spain

Negotiable Salary

Data Analyst64665522144897123

Winning Consulting is seeking a **Data Analyst**, to be part of a project for one of our key clients in the technology sector in Brussels. Hybrid model. **Functions:*** Collect, clean, and transform data from various internal and external sources. * Develop reports, dashboards, and visualizations to communicate trends and key metrics. * Analyze large datasets to idenfiy patterns, oppotunities, and potential issues. * Collaborate with product, makerting, finance, or operations teams to define analytical needs. * Monitor KPIs and propose improvements based on insights. * Document processes, methodologies, and analytical models. * Ensure the accuracy, integrity and consistency of data. * Automate data extraction and analysis processes when possible. * Presnt findings to both technical and no\-technical stakeholderes. **Skills:*** Bachelor's degree in Statistics, Engineering, Mathematics, Computer Science, or related field. * \+3 years of experience in data analysis or related areas. * Strong SQL skills and experience with relational databases. * Knowledge of Python or R for statistical analysis. * Knowledge data visualization tool (valuable PowerBI). * Good level, both oral and written, in English and French. **Do you want to know more about Winning?** We are a consulting firm offering services in consulting, training, recruitment, and headhunting. We support our clients in finding innovative and sustainable solutions, ranging from applying scientific knowledge to solve complex management challenges to driving digital and technological transformation within organizations. If you want to learn more about us, visit our website at https://www.winning\-consulting.com/. S3OeUvIDYB

Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain

Negotiable Salary

Digital Analyst64629347531266124

Digital Analyst

The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets. Job Description: Key responsibilities: Develops data science based solutions for clients based on marketing problems Leads sales meetings and present our value proposition around how data science drive business value for customers Sets team development and training objectives Builds client relationships to drive value and long\-term growth Communicates findings and insights Location: Madrid \- Avenida del General Peron 40 Brand: Merkle Time Type: Full time Contract Type: Permanent

Av. del General Perón, 38, Tetuán, 28020 Madrid, Spain

Negotiable Salary

Data Analyst | Automotive64629347547651125

Data Analyst | Automotive

**We are looking for people who want to join our Trigo Team!** We are experts in providing comprehensive, high-quality solutions for our clients—from corrective to preventive actions. Our goal is to prevent potential quality non-conformities during manufacturing processes and maintain optimal production. We specialize in the automotive, aerospace, and heavy transport industries. At **Trigo Group**, your primary role will be as a Data Analyst working with one of our partners located in Valladolid. **Your responsibilities will include:** Extracting, analyzing, and interpreting data for preparation and subsequent verification between current data sources and new SAP modules. Automating data from various source systems so that it is stored in a database or sent to another application via APIs. Ensuring the quality of data to be migrated. Generating business reports using data analytics tools such as Spotfire / Power BI / Looker. Processing data with a focus on continuous process improvement and control tools (e.g., report automation, enhancement of existing tools). **What can we offer you?** Integration into a leading company in the automotive sector. Flexible compensation plan (meal vouchers, childcare, training, transportation, and health insurance). *Trigo Club Benefits offering exclusive discounts for you. **Learn more about us!** **https://www.trigo\-group.com/en** **https://www.linkedin.com/company/trigo\-group/mycompany/** *At TRIGO, we promote equal opportunities and diversity. All applications will be evaluated without discrimination based on gender, origin, sexual orientation, disability, or other circumstances.* **Department** Automotive **Locations** Valladolid **Sector** Consulting and Auditing **Country** Spain **Region** Castilla y León

Calle de Sta Lucía, 28, 47005 Valladolid, Spain

Negotiable Salary

Senior Data Scientist - Databricks (m/f/*)64617507749762126

Senior Data Scientist - Databricks (m/f/*)

Our Engineering community is growing, and we're now looking for a **Senior Data Scientist \- Databricks (m/f/\*)**, to join our team in Spain, supporting our global growth. As a **Senior Data Scientist (m/f/\*)**, you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines, enabling GenAI capabilities, and delivering production\-grade solutions that support data\-driven innovation at scale. #### **WHAT WE OFFER** * Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain) * A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents * Contribute your ideas to our unique projects and make an impact by turning them into reality * Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup * Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies * Individual development plan, professional development opportunities * Educational resources such as paid certifications, unlimited access to Udemy Business, etc. * Local, virtual, and global team events, in which UT colleagues become acquainted with one another #### **WHAT YOU'LL DO** * Design, develop, and maintain scalable **machine learning pipelines** on the Databricks Lakehouse Platform using Spark, Delta Lake, and MLflow. * Perform **exploratory data analysis (EDA)**, data cleaning, feature engineering, and model evaluation to support data\-driven use cases. * Collaborate with data engineers and business stakeholders to **translate real\-world problems into ML solutions**. * Deploy models using MLflow, manage model versioning, and set up monitoring and retraining strategies. * Optimize the performance and cost\-efficiency of ML workloads on Databricks clusters. * Apply best practices in **MLOps**, ensuring reproducibility, governance, and scalability of ML solutions. * Guide and mentor team members on Databricks, ML engineering best practices #### **WHAT YOU'LL BRING** * **3–5 years of experience** in solution engineering or similar hands\-on technical roles. * Hands\-on experience with **Databricks (on Azure, AWS, or GCP)**, especially **Spark** (PySpark or Scala), **Delta Lake**, and **MLflow**. * Deep understanding of the machine learning lifecycle, including data prep, modeling, evaluation, and deployment. * Proficiency in Python, with solid foundations in **ML libraries** (e.g., scikit\-learn, pandas). * Experience building production\-ready ML pipelines and working with large\-scale datasets. * Familiarity with orchestration tools (e.g., **Databricks Workflows**, Airflow) and version control (Git/GitHub). * Strong problem\-solving and communication skills, with the ability to explain complex models and logic to stakeholders. * Professional Spanish \& English communication skills (C1\-level, written and spoken). **Nice to have** * Experience with **MLOps workflows**: model monitoring, automated retraining, A/B testing. * Exposure to cloud\-native architectures, CI/CD for ML, and infrastructure\-as\-code (e.g., Terraform). * Knowledge of **Databricks Unity Catalog** for model governance and security. * Experience working in regulated or enterprise data environments. Did we pique your interest, or do you have any questions? We want to hear from you: contact us at **recruit@ultratendency.com** #### **ABOUT US** Ultra Tendency is an international premier Data Engineering consultancy for **Big Data, Cloud, Streaming,** IIoT and **Microservices**. We design, build, and operate large\-scale data\-driven applications for major enterprises such as the European Central Bank, HUK\-Coburg, Deutsche Telekom, and Europe's largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents. We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to \+20 open\-source projects including **Ansible, Terraform,** NiFi, and **Kafka**. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot. We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work\-life balance. We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age. Data privacy statement: Data Protection for Applicants – Ultra Tendency

Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain

Negotiable Salary

Cost Analytics and Proactive Cost Management Intern (m/f)64609798154115127

Cost Analytics and Proactive Cost Management Intern (m/f)

**Job Description Summary** =========================== **Job Description** =================== Join the business Transformation Team of GE Vernova Aeroderivative business, driving cost control, cost analytics, and proactive cost management for both New Units and Services. As an intern, you will have the opportunity to support cost management initiatives, leverage cutting\-edge technologies like AI, and provide critical cost analytics to enable business decisions. This internship offers a unique chance to work on impactful projects within a dynamic team that values innovation, strategic thinking, and collaboration. This Internship opportunity is ideal for students or recent graduates specializing in engineering, finance, data and computer science, or business analytics who have a passion for cost optimization and advanced technologies. **We believe you have the following attributes:** * A passion for emerging technologies and solving complex analytical problems. * Eagerness to drive transformation in cost management through innovative solutions. * A proactive mindset and the ability to think strategically to achieve impactful results. * A strong interest in understanding and influencing the financial performance of a global business. **The applicant meets the following qualifications:** * Currently pursuing or recently completed a **Bachelor’s or Master’s** degree in engineering, finance, data science, business analytics, or a related technical field, or equivalent knowledge or experience * Experience with **Python**, **prompt engineering**, or deploying LLM\-based tools is a strong advantage * Familiarity with data analysis tools such as **Tableau, Alteryx, SQL, Panda or Excel** * Understanding of financial or operational metrics * Excellent communication skills and proficiency in **English** (spoken and written) **Additional Information:** * **Relocation Assistance Provided:** No * **Primary Location:** Baden, CH * **Secondary Location:** Milan, IT; Florence, IT; Madrid, ES If you are eager to contribute to shaping the future of cost management and analytics in a global, innovative organization, we encourage you to apply. **Additional Information** ========================== **Relocation Assistance Provided:** No

C. de Garganta de los Montes, 2-6, Arganzuela, 28045 Madrid, Spain

Negotiable Salary

Industry Marketing Principal64609798107649128

Industry Marketing Principal

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. Are you passionate about shaping portfolio solution narratives and making a direct impact on go\-to\-market success in our key industries? PTC is looking for an**Industry Marketing** **Principal**to be a strategic partner for our Industry go\-to\-market (GTM) strategy. **Why This Role Matters** The Industry Marketing Principal will drive the development and execution of PTC’s industry\-specific marketing strategies. This role is central to shaping how we engage with verticals, deliver thought leadership, and enable sales and customer success teams with relevant insights and content. The ideal candidate is a strategic B2B marketer with deep industry knowledge and a passion for translating market dynamics into actionable programs. You will be part of the Portfolio Marketing organization, working closely with Product Marketing, Customer Marketing and Growth Marketing leaders. You will also collaborate cross\-functionally with Industry Advisors, Sales, Solutions Consulting and Product teams to ensure go\-to\-market success. * Work at the forefront of intelligent product lifecycle solutions in a company that is shaping the future of manufacturing enterprises. * Be an Industry expert with the ability to make a visible impact on our growth and GTM success. * Collaborate with a high\-caliber, passionate team that values innovation and customer success. **Key Responsibilities** * **Industry Messaging \& Positioning:** Develop and articulate clear, differentiated messaging and positioning for our key industries with solutions that address customer challenges and align with key industry trends. * **Thought Leadership \& Advocacy:** Drive the Industry Hubs program; identify speaking engagements, create and promote content; engage with analysts and industry forums. * **Sales Support:** Support PTC’s value\-based selling approach, helping sales teams articulate PTC’s differentiation and business impact. * **Sales Enablement \& Program Execution:** Deliver enablement materials; support campaign execution and ABM initiatives. * **Research \& Insights:** Partner with Strategy and Competitive Intelligence teams to leverage data and Voice\-of\-the\-Customer insights; drive data\-backed decisions. * **Market Intelligence:** Conduct ongoing research on industry trends, competitive landscapes, and customer pain points to inform solution development and marketing strategy. **What You Bring** * 7\+ years of experience in Industry Marketing, Solutions Marketing, Product Marketing, or other GTM functions in B2B technology or enterprise software industries. * Industry background in one of our key verticals (Automotive, Industrials, MedTech, FA\&D, Electronics \& HighTech) is a plus * Demonstrated ability to translate technical portfolio capabilities into compelling customer value propositions. * Strong analytical skills and the ability to synthesize market and customer insights into actionable GTM plans. * Proven success in developing industry\-specific messaging and positioning, and multi\-channel marketing strategies. * Experience working with cross\-functional teams including Sales, Product Management, Customer Success, and Communications. \#LI\-DNI Life at PTC is about more than working with today’s most cutting\-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem\-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us? We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy."

Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain

Negotiable Salary

Senior Product Analyst (Payments)64609798138755129

Senior Product Analyst (Payments)

**Who Are We?** We are **Welltech** — a global company with Ukrainian roots and a powerful mission: **to move everybody to start and stay well for life**. Today **25\.5 million users** have trusted Welltech to help them build healthy habits — a testament to the real value our innovative, engaging wellness solutions deliver every day. With five hubs across **Cyprus, Ukraine, Poland, Spain and the UK** and a diverse, remote\-friendly team of **700\+** professionals, we continue to scale rapidly. Our innovative apps — **Muscle Booster, Yoga\-Go and WalkFit** — empower millions to transform their lifestyles and unlock their personal wellness journeys. Welltech is where your impact becomes real. And our values clearly attest to that: **we grow together, we drive results, we lead by example and we are well\-makers**. If this looks like you and you thrive in a fast\-paced environment, you’ll fit right in at Welltech. Let’s build wellness for millions together. **Challenges you’ll meet:** * **Payment Metrics Ownership:** Take full ownership of core payment metrics (e.g., approval ratio, payment funnel performance) and ensure they are reliably tracked and in a consistent manner; * **Proactive Stakeholder Management \& Storytelling**: Distill complex analytical findings into compelling, clear, and concise narratives for senior stakeholders. Present data\-driven recommendations that drive decisive action across Product \& Engineering; * Develop a clear analytical framework for understanding the metrics performance and strategic contributions; * Partner with the product team and refine experimentation processes to ensure data\-driven decision\-making. **Your professional qualities:** * Demonstrated experience in interpreting data and delivering high\-impact solutions to stakeholders; * Proficiency in SQL, Python and Tableau (or other data visualization tools); * Familiar with statistics and hypothesis testing principles; * Adept at breaking down complex challenges into clear, actionable steps. **Nice to have:** * Familiarity with payments domain and with Airflow. **In our team, we value:** * Sociability. Team update, regular communication with the working group on current projects in written (chats) and verbal formats (stand\-ups and other meetings). Openness to communication. Ability to formulate tasks clearly and concisely; * Results orientation. Willingness to bring your tasks in line with the team and company global goals, to implement the necessary changes; * Responsibility. Attention to details, autonomy, willingness to take on obligations and comply with agreements; * Proactivity. The ability to set goals and achieve them. Creating opportunities without waiting for them to appear; * Orientation to development and self\-learning, interest in new technologies. A constant desire to learn and develop your skills, gain new experience; * Zero\-Ego and Collaborative Mindset.A flexible, hands\-on leader who fosters trust, values diverse perspectives, and promotes a culture of continuous learning and improvement; **Candidate journey** Recruiter call \-\> Meet a team member \-\> Skills assessment\-\> Meet the Leadership team **Why You’ll Love Being Part of Welltech:** * **Grow Together**: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together. * **Lead by Example**: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact. * **Results\-Driven**: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day. * **We Are Well\-Makers**: Be part of a movement that’s creating a healthier, happier world. Together, we make well\-being a reality! **Check out some of our products** Muscle Booster — https://musclebooster.fitness/ Yoga\-Go — https://yoga\-go.io/ WalkFit \-http://walkfit.pro

Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain

Negotiable Salary

Head/Director of Data Science645991923837461210

Head/Director of Data Science

**Appodeal** is a dynamic US\-based product company with a truly global presence. We have offices in **Warsaw, Barcelona and Virginia** along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. **Why Appodeal?** At Appodeal, we're more than just a company—we're a team united by a common mission: **to help every person discover and grow their talents!** We take pride in our cutting\-edge product and our internationally dispersed team of talented professionals. Here's what we value, and what we hope you do too: * **Continuous Learning and Growth:** We are passionate about learning, growing personally, and building rewarding careers. * **Making an Impact:** We are committed to building a history\-defining company that leaves a lasting impact on the mobile app industry. * **Solving Exciting Challenges:** We tackle complex problems every day, supported by a team of world\-class professionals and mentors. * **Enjoying the Journey:** We believe in having fun while working toward our goals. We are now expanding our data capabilities and seeking an experienced **Head / Director of Data Science** to lead and scale our **Data Science UA team** function in Barcelona. This role is ideal for a leader with a strong technical background, excellent people\-management skills, and the ability to turn data into actionable, high\-impact product and business outcomes. **Role Overview** **The Head / Director of Data Science** will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high\-quality insights and predictive capabilities. You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision\-making across the ecosystem. This is a strategic and hands\-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence. **Key Responsibilities** **Leadership \& Strategy** * Lead and scale the Data Science function across the organization. * Translate business and product goals into clear DS/ML initiatives and execution plans. * Build and promote a strong data\-driven culture across all teams. * Applied Data Science \& ML * Oversee development, deployment, and monitoring of ML models across Appodeal's product and monetization ecosystem. * Guide experimentation, modeling, uplift measurement, and algorithmic optimization. * Ensure model quality, reliability, fairness, and performance at scale. * Collaboration \& Stakeholder Management * Partner with Product and Engineering teams to integrate Data Science into product roadmaps. * Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights. * Communicate DS outcomes, metrics, and recommendations to leadership. **Team Leadership** * Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists. * Foster knowledge sharing, best practices, experimentation, and continuous improvement. * Drive hiring, talent development, and team structure optimization. **Data Infrastructure \& Governance** * Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows. * Improve data quality, observability, and governance standards. **Qualifications** **Education** Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus). **Experience** * 5\+ years of experience in Data Science, Machine Learning, or Applied Analytics. * 3\+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar). * Demonstrated experience building and leading Data Science teams. * Proven track record of delivering DS/ML solutions with real business impact. **Technical Skills** * Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis. * Hands\-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit\-learn), and analytics tooling. * Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams. * Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus. **Leadership \& Soft Skills** * Excellent stakeholder management and communication skills. * Ability to translate technical concepts into business language. * Strong decision\-making and prioritization abilities. * Passion for mentoring, coaching, and building high\-performing teams. **What We Offer** * Opportunity to build and lead the Data Science function of a global product company. * Direct influence on product roadmap and business outcomes. * Collaborative and international team environment. * Competitive compensation package and growth opportunities. * A chance to shape the future of mobile app monetization. **Join Us** If you're a data leader who thrives on impact, innovation, and solving complex challenges, Appodeal is the place where you can scale your career and shape an industry. **Join us and help drive the future of data intelligence at Appodeal!** With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. **Join us** and help shape the future of mobile app success!

Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain

Negotiable Salary

2026 Business Intelligence Engineer Internship645991923997451211

2026 Business Intelligence Engineer Internship

**DESCRIPTION** --------------- \- This is a 6 month Internship \- Business Intelligence Engineer 2026 \- Spain We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow 2026 Business Intelligence Engineer Internship \- Spain Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast\-paced, ambiguous environment and contribute to one of the most visited sites on the Internet? At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Business intelligence engineers use cutting\-edge technology to solve complex problems and get to see the impact of their work first\-hand. The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years. The Amazon University Talent Acquisition Team are looking for ambitious students to join us as interns at the heart of our core consumer business! Internships are flexible in length to fit in with your university’s placement scheme. Key job responsibilities * Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity * Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation * Write high quality code to retrieve and analyze data * Analyze and solve business problems at their root, stepping back to understand the broader context * Design pragmatic analyses and automated metrics that add value to your business area * Understand data resources and how, when, and what to use (and what not to use). * Develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake * Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value * Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources A day in the life Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. Our Business Intelligence Engineers tackle some of the most complex challenges in large scale computing, work in small teams across the company to contribute to the e\-commerce platform that's used by millions of people all over the world. With that in mind, we require applicants to demonstrate their technical skills in a number of areas. About the team If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern. * Competitive pay * Impactful project and internship/role deliverables * Networking opportunities with fellow interns * Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions. * Mentorship and career development If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies. Internship start dates vary throughout the year. Internship length is ideally 6 months. **BASIC QUALIFICATIONS** ------------------------ * Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field * Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields * Work 40 hours/week minimum and commit to 6 month internship maximum **PREFERRED QUALIFICATIONS** ---------------------------- * Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field * Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third\-party tools * Experience with data querying or modeling with SQL or Excel * Experience with SQL Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain

Negotiable Salary

Cloud Engineering Manager645622414666271212

Cloud Engineering Manager

**Cloud Engineering Manager** ============================= * *Location: Barcelona* **Position Overview** --------------------- The Cloud Engineering Manager provides strategic leadership and direction for Sanofi's cloud infrastructure, operations, and enterprise integration initiatives across regional or portfolio\-wide programs. This senior leadership role drives cloud transformation strategy and oversees multiple cloud engineering teams to deliver enterprise\-scale solutions that directly impact Group targets and business competitiveness. The position requires expert\-level technical knowledge combined with strategic business acumen to lead organizational change, digital transformation initiatives, and complex hybrid cloud integration architectures that seamlessly connect cloud services with Sanofi's existing IT infrastructure. **Key Responsibilities** ------------------------ ### ***Strategic Leadership \& Business Transformation*** * Develop and execute multi\-year cloud strategy and roadmaps aligned with Sanofi's business objectives and digital transformation initiatives with emphasis on hybrid cloud integration and seamless connectivity across cloud and on\-premises environments * Drive organizational change management to accelerate cloud adoption across business units and regions * Provide direction on cloud technology choices that enhance Sanofi's competitive position * Lead portfolio rationalization and modernization initiatives across multiple technical domains. Ensuring integration continuity and minimal disruption to existing systems ### ***Technical Leadership \& Innovation*** * Direct implementation of enterprise\-scale cloud solutions across multiple platforms (AWS, Azure)with robust design patterns * Establish technical standards, best practices, and capabilities for cloud adoption at organizational level * Drive innovation through emerging technologies (AI/ML, serverless, edge computing) to create business differentiation * Lead proof\-of\-concept initiatives for transformative cloud technologies with potential enterprise\-wide impact * Oversee complex cloud migration programs involving mission\-critical applications and infrastructure, ensuring seamless integration with retained on\-premises systems and services ### ***Organizational Management*** * Lead multiple cloud engineering teams across 3 regions (Asia, Europe, America), typically managing 20\+ direct and indirect reports * Develop and implement succession planning and talent development strategies for cloud engineering organization, with focus on building integration expertise and hybrid cloud capabilities * Manage substantial operational and capital expenditure budgets * Establish organizational structures that optimize cloud delivery capabilities and operational excellence, including specialized integration teams and centers of excellence * Foster a culture of innovation, continuous learning, and technical excellence across the organization ### ***Stakeholder Management \& Governance*** * Represent cloud engineering in enterprise architecture and technology governance forums * Collaborate with regional and global IT leadership to ensure consistent cloud strategy execution * Engage with external industry forums and analyst groups to influence cloud provider roadmaps ### ***Risk Management \& Compliance*** * Collaborate with security teams to establish secure integration patterns * Direct risk assessment and mitigation strategies for cloud operations at organizational level * Ensure cloud implementations meet GxP, data privacy, and industry\-specific compliance requirements * Lead security incident response planning and execution for cloud environments **Qualifications** ------------------ ### ***Education \& Experience*** * Master's degree in Computer Science, Information Technology, or related field; MBA or equivalent preferred * 12\+ years of progressive experience in cloud technologies and infrastructure management * 7\+ years in leadership positions with demonstrated experience managing multiple teams * Experience managing substantial technology budgets and vendor relationships ### ***Technical Knowledge*** * Expert\-level knowledge of cloud platforms (AWS, Azure) and their enterprise integration patterns * Advanced understanding of cloud security, compliance, and governance frameworks * Deep knowledge in cloud financial management, optimization, and FinOps practices * Comprehensive knowledge of enterprise architecture and technology portfolio management * Strong understanding of pharmaceutical/life sciences industry technology requirements ### ***Leadership Competencies*** * Strategic thinking and ability to translate business needs into technology strategies * Talent development capabilities with focus on building high\-performing teams **Impact \& Scope** ------------------- * Directs cloud strategy and implementation across multiple business units or regions * Manages annual cloud expenditure budgets of $10M\+ with accountability for optimization * Influences enterprise architecture and technology decisions with long\-term business impact * Leads teams responsible for mission\-critical applications and infrastructure * Contributes directly to Group digital transformation objectives and business outcomes \#LI\-Hybrid \#BarcelonaHub \#SanofiHubs null

Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain

Negotiable Salary

Global IBP Demand Planning Excellence Manager645512981351691213

Global IBP Demand Planning Excellence Manager

Overview: The Integrated Business Planning (IBP) process aims to transform business decision making that will result in profitable and sustainable growth balancing strategic, financial and operational objectives. It is a cross\-functional, rolling planning process integrating product, marketing, sales, supply chain and finance into one aligned plan for the business through a global standard. This single set of numbers leverages next generation orchestration and analytic technology coupled with data and digital savvy PepsiCo talent, and an enabling decision\-support tool, ensuring agile and fast decision\-making to take us to the next level above the competition. IBP goes beyond supply \& demand matching; it is a leap forward for the business, enabling faster, more coordinated and more informed decision making with increased visibility from supplier to customer. It is action\-oriented and focused on the business across weekly Sales \& Operations Execution (iS\&OE), Period Sales \& Operations Planning (iS\&OP), and Yearly Strategic Planning. **Global IBP: Demand Planning Excellence Team** The Demand Planning Excellence Team is accountable for the design, deployment, sustainment and evolution of the Demand Planning and Forecasting Global Processes, Organizational Design, Tool requirements and Systems Architecture requirements. We are advocates for the value of IBP and will support global, regional and local teams to build awareness of the global IBP and Demand Planning and Forecasting templates. Responsibilities: The purpose of this role is to elevate Demand Planning capability across People, Process \& Technology together with the rest of the Demand Planning Excellence team by guiding and supporting global product team and Demand Planning teams across regions/markets with best practices to drive results and deliver value. The Demand Planning Excellence Manager will implement and manage a Demand Planning Community of Practice in addition to maintain a Maturity Model and assess periodically and audit maturity levels across region and markets, identifying areas of opportunity, and best practices to share and implement across the CoP. Main responsibilities for the role are: **Global Demand Planning Community of Practice and Maturity Lead:** * Stablish, manage and facilitate the Community of Practice sessions (monthly). * Global Demand Planning Playbook adoption globally. * Identification and documentation of Demand Planning Archetypes (o9, PGT, BY..). * Maintenance and enhancement of Demand Planning and Forecasting Maturity Model. * Periodical maturity assessment execution, auditing results, calibration and identifying best practices. * Identify and showcase internal \& external best practice in the CoP. * Coaching BU/Sectors to help improve process maturity. * Internal \& External Benchmarking of KPIs. * Identify and address common pain points, process and solution gaps. * Facilitating target setting of KPIs and process maturity on annual basis and support roadmap creation to close gaps. * Drive behavioral change to deliver successful outcomes within and beyond CoP. * Develop and identify Demand Planning talent in the user community. **Support to Live Markets – Continuous Improvement:** * Processes, and capabilities continuous improvement focused on EMEA/APAC live markets. * Forecasting Analyst EMEA/APAC Team Management and Development: ensure they work as per standard process/tools, manage their support on regular / ad\-hoc analysis and improvement plans development to support IBP improvements. * DP Performance tracking and reporting. **Support DP E2E Design Lead:** * Lead/support the analysis, design and development of specific areas within DP and Forecasting and o9\. * Troubleshoot/Target specific problems/improvements outside of CoP sessions. * DP Playbook and Process Updates Documentation. * Reporting Tool (DP / Forecasting Design and CI). * Support L\&D teams to maintain the specific global DP functional training content. * Participate and contribute in the Change Request / Design Approval processes as needed (CAB, IDC, DAB…). * Function as a global o9 super user to deliver support and training on Demand planning related processes and technologies. Qualifications: * Holder of both a Bachelor’s and Master’ degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus. * 2\+ years PEP experience is a plus. * 5\+ years' experience in Demand Planning and Forecasting. * Experience in forecasting models and typical time series forecasting approaches. * Understanding of data science driver\-based forecasting techniques preferred. * Strong advocate of global IBP/DP/Forecasting design. * Recognized as a strong change agent: Cross Market (indirect) influence. * Complex Transformation Programs experience, consulting experience would be an advantage. * 5\+ years in the FMCG industry. * Confident presenter and good facilitator. * Strong in both strategic and analytical thinking. * Strong in organizational skills and attention to detail. * Good business acumen with results orientation. * High level of executive maturity. * Ability to generate consensus via strong network \& collaborations skills. * Knowledge of ERP and/or Demand planning/IBP systems specially o9\. BY or SAP IBP are a plus. * Team player, welcome collaboration, flexible, with a positive attitude, you hold yourself accountable and you commit to the team. * Self\-starter able to manage your own schedule in a fast\-paced, changing environment. * Knowledge and experience in commercial planning, financial planning, S\&OP, S\&OE and supply planning, is a plus. * Computer literate with excellent PowerPoint and Excel skills. * Knowledge of Demand Planning Tools (BY, SAP IBP/APO…) and its implementation is a plus. * Knowledge of ERP and/or commercial planning/IBP systems is a plus (e.g. SAP, TPM, O9\). * Native / bilingual proficiency or full professional proficiency in English.

Carrer Tirso de Molina, 34, 08940 Cornellà de Llobregat, Barcelona, Spain

Negotiable Salary

MLOps Engineer645512982055701214

**About this job opportunity** **Our Vision** To be the world's most trusted global payroll partner, simplifying pay for all employees. **Our Mission** Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world. **Our People** Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We're committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation. **What makes this role exciting** --------------------------------- **We’re looking for a hands\-on and forward\-thinking MLOps Engineer to join our growing Data team. You’ll bridge the gap between Data Science and Engineering, building scalable, automated, and secure ML infrastructure that enables the delivery of AI solutions across CloudPay’s global payroll and payments platforms.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **You’ll be instrumental in designing and maintaining the pipelines, tools, and frameworks that power model training, deployment, and monitoring, ensuring our AI products operate reliably and efficiently at scale.** ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **If you’re passionate about automation, scalability, and bringing AI models to life in production, this is the role for you.** ------------------------------------------------------------------------------------------------------------------------------- **Main responsibilities** ------------------------- **ML Infrastructure \& Automation** ----------------------------------- * **Design, build, and maintain end\-to\-end MLOps pipelines for model training, validation, deployment, and monitoring in production environments.** --------------------------------------------------------------------------------------------------------------------------------------------------- * **Develop CI/CD workflows and automate retraining, testing, and rollback processes for ML models.** --------------------------------------------------------------------------------------------------- * **Collaborate with Data Scientists and Data Engineers to transform prototypes into robust, production\-grade systems.** ----------------------------------------------------------------------------------------------------------------------- **Deployment \& Monitoring** ---------------------------- * **Manage model serving using AWS\-native tools (SageMaker, Fargate, ECS, Bedrock) and integrate with the broader CloudPay data ecosystem (Snowflake, dbt, Prefect).** --------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Implement model observability tools and frameworks for performance tracking, drift detection, and lineage management.** ------------------------------------------------------------------------------------------------------------------------- * **Establish and maintain environments for model experimentation, testing, and reproducibility.** ------------------------------------------------------------------------------------------------ **Collaboration \& Enablement** ------------------------------- * **Partner with Data Engineering to align model pipelines with enterprise data architecture and ensure efficient data ingestion and preprocessing.** --------------------------------------------------------------------------------------------------------------------------------------------------- * **Work closely with Platform and DevOps teams to align ML deployment standards with overall infrastructure and security best practices.** ----------------------------------------------------------------------------------------------------------------------------------------- * **Contribute to ML governance frameworks, including metadata management, reproducibility, and model registry.** --------------------------------------------------------------------------------------------------------------- **Innovation \& Continuous Improvement** ---------------------------------------- * **Evaluate new MLOps tools, frameworks, and AI infrastructure technologies to improve scalability, cost efficiency, and automation.** ------------------------------------------------------------------------------------------------------------------------------------- * **Advocate for engineering excellence, coding standards, and documentation across the ML lifecycle.** ----------------------------------------------------------------------------------------------------- * **Support the evolution of CloudPay’s AI ecosystem, enabling GenAI and LLM\-based solutions to move seamlessly from research to production.** --------------------------------------------------------------------------------------------------------------------------------------------- **Experience needed for this role** ----------------------------------- * **Degree in Computer Science, Data Engineering, AI/ML, or a related technical field.** -------------------------------------------------------------------------------------- * **Relevant cloud or MLOps certifications (AWS Certified Machine Learning, Kubernetes, etc.) are a plus.** --------------------------------------------------------------------------------------------------------- * **Solid experience in MLOps, Data Engineering, or ML Engineering roles, preferably in cloud\-based environments.** ------------------------------------------------------------------------------------------------------------------ * **Proven experience deploying and managing ML models in production, including monitoring and performance optimization.** ------------------------------------------------------------------------------------------------------------------------ * **Background in supporting AI/ML use cases (OCR, NLP, document understanding, recommendations, or similar).** ------------------------------------------------------------------------------------------------------------- **Technical Skills** -------------------- * **Strong proficiency in Python, with experience in frameworks such as FastAPI, MLflow, Airflow, or Prefect.** ------------------------------------------------------------------------------------------------------------- * **Expertise in cloud platforms (AWS preferred).** ------------------------------------------------- * **Familiarity with containerization and orchestration (Docker, Kubernetes, ECS).** ---------------------------------------------------------------------------------- * **Experience with model registry, experiment tracking, and CI/CD tools (e.g., GitHub Actions, Jenkins, or similar).** --------------------------------------------------------------------------------------------------------------------- * **Solid understanding of data engineering principles, feature stores, and versioning for ML data.** --------------------------------------------------------------------------------------------------- * **Experience with monitoring tools for ML (EvidentlyAI, Prometheus, Grafana, or similar).** ------------------------------------------------------------------------------------------- **Leadership \& Communication** ------------------------------- * **Ability to translate complex technical solutions into clear business impact.** -------------------------------------------------------------------------------- * **Strong cross\-functional collaboration skills with Data Science, DevOps, and Product teams.** ----------------------------------------------------------------------------------------------- * **o Detail\-oriented, self\-driven, and comfortable working in a fast\-paced, global environment.** --------------------------------------------------------------------------------------------------- * **Excellent written and oral communication skills in English** -------------------------------------------------------------- **About you and Our core values** --------------------------------- * **Taking ownership, working with integrity and respect** -------------------------------------------------------- * **Being a team player is key to our culture** --------------------------------------------- * **Solution and customer focused** --------------------------------- * **Great initiative with the goal for excellence in achieving results** ---------------------------------------------------------------------- * **Dedicated to developing and always looking for continuous improvements** -------------------------------------------------------------------------- * **Be creative, be committed, be engaged and enjoy what you do** --------------------------------------------------------------- **CloudPay is committed to being an equal opportunities employer. Competitive benefits for Spain. \#LI\-AC1 \#LI\-REMOTE** The CloudPay culture is built upon on five core values, from which we develop our service, our technology and our business strategies. Our fundamental beliefs are a promise to our employees, customers and partners, built on the core values of professionalism, passion, empowerment, innovation, and teamwork.

Negotiable Salary

Lead Enterprise Systems Analyst645512981529631215

Lead Enterprise Systems Analyst

**Job Title:** Lead Enterprise Systems Analyst **:****Why you should join:** As senior EDI Specialist, you will be reporting to Global EDI Manager and will help manage the current ECC landscape and provide strategic direction for S4 migration. You will be responsible for driving end to end project lifecycle, requirement gathering, stakeholder communication and spearheading conversations with business and external partners to create an efficient EDI workflow and design specification. Provide operational support for mission critical situations. **Your main tasks:** Responsible to Drive End to End Implementation Lifecycle (Requirement Gathering, Estimation, Creation of MRS (Mapping Requirement Specification), Stakeholder communication). Act as a liaison between Business teams and external trading partner EDI teams. With Business acumen and know\-how of EDI. * Perform all phases of analysis including problem definition, solution conceptualization, and tasks needed to complete Trading partner onboarding on Sterling and SAP. * Create, review \& sign off on MRS in conjunction with business and external partners. * Define EDI workflows (ORDERS, DELINS, SHIPMNT, INVOICE, INVRPT, REMADV etc.) * Understanding of Scheduling agreements setups. Creation of Partner profiles on SAP. * Migrating partners from SAP ECC to SAP S4\. * Define and execute on SAP S4 migration strategy. * Provide operational Support for P1/P2 incidents. **Your ideal background:** * 8\+ years of experience in SAP and EDI space combined * Proven abilities to build complex maps on Sterling Integrator. * Read \& understand customer EDI specifications, write functional (mapping) specs. * Setting up SAP Profiles (WE20, EDPAR Tables, Output Types). * Working experience on SAP S4\. * Understanding of Vendor master and customer master. * Familiarity with SAP batch jobs and ABAP code would be a plus. * Familiarity with communication protocols AS2, OFTP2, Rosettanet, SFTP, FTPS, SMTP, VAN. * Strong experience in EDI standards: X12, EDIFACT, VDA, ODETTE, EIAJ, XML Rosetta net and CII * Must have SAP knowledge, in at least two of the following areas: Sales and distribution, Order to Cash cycle. * Proven abilities to bridge GAP between business and external parties. * Knowledge on workings of 3PL and 4PL. * Troubleshoot IDOC failures and setup proactive monitoring. * You should be familiar with the following: + Organizational Structures: Set up sales areas, assign organizational structures. + Document Types: Sales documents; Inquiries, Quotations, Sales orders, Shipping, Billing + Understanding of SD account assignment and revenue recognition processes + Pricing: condition tables, condition types, access sequences, pricing procedures, pricing routines, Rebates + Document Incompletion: incompletion procedures + Document Outputs: Output types, output determination + Master Data: Business Partners, Pricing **Competencies** Values: Integrity, Accountability, Inclusion, Innovation, Teamwork **Job Locations:** \#, Małopolskie \_ Poland **Travel Required:** Less than 10% **Requisition ID:** 143764 **Workplace Type:****External Careers Page:** Information Technology

5M4H+6F Pol, Spain

Negotiable Salary

Quant Energy Analyst (f/m/d)645512981697301216

Quant Energy Analyst (f/m/d)

Are you passionate about energy and economics? Join Axpo as a Quant Energy Analyst and help shape the future of energy systems with advanced quantitative analysis and modeling. Collaborate with a motivated team to drive innovation in energy markets. **What you will do:** * Contribute to Axpo’s long\-term market scenarios and strategic perspective on energy system transitions. * Support and further develop European power and flexibility market models, extending models and input data where needed. * Apply quantitative analysis and modelling methods to uncover strategic insights into market dynamics and long\-term developments. * Develop and run optimization models to simulate market outcomes and asset dispatch at both individual asset and portfolio levels. * Work with Axpo’s data engineering and IT teams to ensure robust, reliable data flows for modelling purposes. * Maintain and enhance analytical datasets to support modelling and strategic assessments. * Support strategic business initiatives and evaluate business cases across diverse markets and technologies. * Prepare analyses and reports to inform and support senior management decision\-making. **What you bring \& who you are:** * Master’s degree in economics, engineering, natural sciences, business administration, or a related field. * 3\-5 years of experience in the energy industry, with a solid understanding of power and gas market dynamics. * Experience with fundamental market modelling or market analysis (e.g. power market dispatch, capacity expansion, gas flows). * Strong quantitative and analytical skills, including solid Python skills for modelling and data analysis (pandas, numpy, optimisation libraries). * Ability to translate complex model results into clear, concise strategic implications for diverse audiences. * Experience in project management is a plus. * Excellent verbal and written communication skills in English. * Legal authorization to work in Spain. * Collaborative mindset – and a good sense of humor! **About the team:** The Energy Economics team provides Axpo’s long\-term market view and supports key investment and strategy decisions. We thrive on cross\-functional and interdisciplinary collaboration, valuing openness and teamwork. Join our dynamic, international, and team\-oriented environment to actively contribute to Axpo's vision for a sustainable future. ##### **Benefits:** At our company, we strive to create a culture of continuous learning, personal growth, and inter\- national community involvement. We're passionate about providing our employees with the tools and resources they need to succeed, and we're confident that you'll love being part of our team! * **Working** **Hours** We offer flexible working hours to accommodate your work schedule. 60% on remote and 40% at our offices in Madrid, Torre Europa. * **Meal** **allowances** You can enjoy delicious meals on us, no matter if you are working remotely or on\-site. Option to use it for public transportation or childcare instead. * **Internet Compensation** We cover the cost of your home internet connection, as we understand how essential connectivity is in the modern workplace. * **Training** **courses** Our company is committed to helping our employees grow and develop their skills, which is why we offer a variety of industry\- specific training courses and a learning channel. * **Gym** **Coverage** Stay active and healthy with our 90% coverage benefit, which provides access to the nearby gym: Forus Selection to keep you energized throughout the day * **Hea****lth Insurance** We take the health and well\-being of our employees seriously, which is why we offer a comprehensive health insurance plan and the option to extend it to your spouse and children. *At Axpo Group, we are dedicated to fostering a culture of non\-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.*

95, Piso 15 Torre, P.º de la Castellana, Tetuán, 28046 Madrid, Spain

Negotiable Salary

Data Engineer Mid-Senior645512982387211217

Data Engineer Mid-Senior

Data Engineer Mid\-Senior At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE Data engineer with strong experience as a Data Engineer with expertise in AWS cloud environments. YOUR PROFILE Proficiency in Python, SQL, and Spark for data processing and transformation. Hands\-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda. Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster). Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines. Understanding of data security, IAM policies, and encryption best practices. Nice to have: AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect. Experience with Machine Learning and AI/ML data pipelines in AWS. Knowledge of serverless data engineering with Lambda and API Gateway. Hands\-on experience with NoSQL databases (DynamoDB, MongoDB, OpenSearch). WHAT YOU'LL LOVE ABOUT WORKING HERE* Join a multicultural and inclusive team environment. * Enjoy a supportive atmosphere promoting work\-life balance. * Engage in exciting national and international projects. * Hybrid work. * Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and certifications programs. * Health and life insurance. * Referral program with bonuses for talent recommendations. * Great office locations. ABOUT CAPGEMINI Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 284241\-en\_US Posted on 10 Jul 2025 Experience level Experienced Professionals Contract type Permanent Location VNG \- Cais de Gaia, Lisboa \- Expo, VNG \- Lake Towers, Lisboa \- Colombo Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

WWG6+35 Gaià, Spain

Negotiable Salary

Data Scientist645512981884171218

**About this job opportunity** **Our Vision** To be the world's most trusted global payroll partner, simplifying pay for all employees. **Our Mission** Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world. **Our People** Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We're committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation. **What makes this role exciting** --------------------------------- **We’re looking for a motivated and impact\-driven Senior Data Scientist to join our Data team. You will join a dynamic squad of Data Scientists, ML Engineers, Data Engineers, Product Managers, and Analytics specialists, working on NLP and Computer Vision across two key streams within the Data organization:** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Platform Services: Build scalable infrastructure and capabilities to deploy AI solutions efficiently and cost\-effectively.** ------------------------------------------------------------------------------------------------------------------------------- * **Product \& Customer Solutions (your stream): Develop customer\-centric AI solutions that enhance the payroll and HR experience for CloudPay clients, including reusable services (agents, document understanding, chatbots), GenAI\-enabled capabilities for insights, reporting, recommendations, and assistants, as well as higher\-risk AI innovations with the potential to significantly improve client experience.** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **If you’re passionate about data, thrive at the intersection of innovation and impact, and want to help build a platform that powers data\-driven and AI\-first solutions at global scale, this role is for you.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **Main responsibilities** ------------------------- * **Own the end\-to\-end design, development, and deployment of high\-impact AI and ML features, from prototypes to production\-ready services.** ----------------------------------------------------------------------------------------------------------------------------------------------- * **Build robust infrastructure, tools, and frameworks for training, evaluating, and serving ML models at scale, including LLMs and Generative AI solutions for both platform and customer\-facing products.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ * **Collaborate closely with Data Scientists, ML Engineers, Product, Engineering, and Analytics teams to translate business requirements into actionable, production\-ready AI solutions.** ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Design and optimize MLOps pipelines using Python, FastAPI, and cloud\-native stacks (AWS Fargate, Bedrock, ECS), integrated with data platforms such as Snowflake; drive automation, monitoring, and CI/CD practices across the ML lifecycle.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Review and validate model code, pull requests, and deployment flows, ensuring technical excellence, reproducibility, and scalability across the AI team.** ------------------------------------------------------------------------------------------------------------------------------------------------------------ * **Define and align data exchange protocols and architecture with DevOps, Data Engineering, and Backend teams.** --------------------------------------------------------------------------------------------------------------- * **Partner with Product Analytics to track KPIs, monitor model performance, and measure the impact of AI solutions on CloudPay products and client operations.** --------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Operate within cross\-functional, multinational teams, with autonomy to experiment, innovate, and test new approaches while observing tangible effects on CloudPay clients and operations.** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Stay ahead of AI trends, tools, and infrastructure innovations to guide long\-term strategy and maintain CloudPay’s competitive edge.** ----------------------------------------------------------------------------------------------------------------------------------------- **Experience needed for this role** ----------------------------------- * **Degree in quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, or other quantitative disciplines).** -------------------------------------------------------------------------------------------------------------------------------------- * **Proven experience as a Data Scientist, AI Specialist, or Machine Learning Engineer, preferably with a focus on NLP and Computer Vision.** ------------------------------------------------------------------------------------------------------------------------------------------- * **Strong understanding of statistical, data processing, and machine learning methods, implemented using standard open\-source frameworks.** ------------------------------------------------------------------------------------------------------------------------------------------- * **Proven experience building production\-ready ML solutions and applying MLOps best practices.** ------------------------------------------------------------------------------------------------ * **Familiarity with AI model monitoring, evaluation, and experimentation techniques.** ------------------------------------------------------------------------------------- * **Expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit\-learn); knowledge of additional programming languages is a plus.** ---------------------------------------------------------------------------------------------------------------------------------------- * **Experience with cloud platforms (AWS, GCP, or Azure) and scalable AI/ML solutions.** -------------------------------------------------------------------------------------- * **Analytical \& Problem\-Solving Skills: Strong ability to translate complex business needs into actionable AI solutions.** --------------------------------------------------------------------------------------------------------------------------- **Collaboration \& Communication:** ----------------------------------- * **Experience working cross\-functionally with Product, Engineering, and Analytics teams;** ------------------------------------------------------------------------------------------ * **Able to clearly communicate technical concepts to non\-technical stakeholders.** ---------------------------------------------------------------------------------- * **Excellent written and oral communication skills in English.** --------------------------------------------------------------- **About you and Our core values** --------------------------------- * **Taking ownership, working with integrity and respect** -------------------------------------------------------- * **Being a team player is key to our culture** --------------------------------------------- * **Solution and customer focused** --------------------------------- * **Great initiative with the goal for excellence in achieving results** ---------------------------------------------------------------------- * **Dedicated to developing and always looking for continuous improvements** -------------------------------------------------------------------------- * **Be creative, be committed, be engaged and enjoy what you do** --------------------------------------------------------------- **CloudPay is committed to being an equal opportunities employer. Competitive benefits for Spain, Poland and the Philippines. \#LI\-AC1 \#LI\-REMOTE** The CloudPay culture is built upon on five core values, from which we develop our service, our technology and our business strategies. Our fundamental beliefs are a promise to our employees, customers and partners, built on the core values of professionalism, passion, empowerment, innovation, and teamwork.

Negotiable Salary

Mid Data Engineer (Lisbon/Porto)645512982716181219

Mid Data Engineer (Lisbon/Porto)

Mid Data Engineer At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE* Capability of assuming leadership initiatives/responsibilities; * Design, develop, and maintain scalable and efficient data\-centric applications and systems; * Collaborate with cross\-functional teams to implement new features and enhancements in cloud environments like AWS or GCP; * Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards; * Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision\-making processes; * Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency; * Support ongoing AI \& Analytics operations and systems, interpret trends; * Communicate findings, proposals, and technical solutions effectively to diverse stakeholders; * Team work in a data\-driven, solution oriented and critical mind\-set is greatly encouraged and valued. YOUR PROFILE* 4 or more years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications; * Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes; * Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar; * Hands\-on experience with cloud platforms like AWS or GCP or Azure; * Knowledge and Hands\-on experience either with cloud platforms (AWS, GCP, or Azure), and/or alternatively in big data technologies such as, Spark or other; * Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design; * Experience with distributed processing technologies and familiarity with tools like Airflow for workflow orchestration; * Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance; * Excellent communication skills and the ability to collaborate effectively in cross\-functional teams; * Analytical mindset, attention to detail, and problem\-solving skills to address complex data challenges; * Familiarity with Standard AI/ML processes \& Operations is greatly valued; * General knowledge in Containerization (Ex: Dockers); * General knowledge in development best practices (CI/CD, GIT, Pipeline development, etc); * Degree in computer science, software engineering, or in engineering domains; * Fluency in English is mandatory, and proficiency in additional languages advantageous. WHAT YOU'LL LOVE ABOUT WORKING HERE* Join a multicultural and inclusive team environment. * Enjoy a supportive atmosphere promoting work\-life balance. * Engage in exciting national and international projects. * Hybrid work. * Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and certifications programs. * Health and life insurance. * Referral program with bonuses for talent recommendations. * Great office locations. ABOUT CAPGEMINI Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 221121\-en\_US Posted on 22 Apr 2025 Experience level Experienced Professionals Contract type Permanent Location Lisboa \- Expo, VNG \- Lake Towers, VNG \- Cais de Gaia, Lisboa \- Colombo Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

PV49+C7 Lisbon, Portugal

Negotiable Salary

Data Scientist - Gen AI Engineer645512982557471220

Data Scientist - Gen AI Engineer

Data Scientist \- Gen AI Engineer (Lisbon/Porto) At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE Develop, fine\-tune, and deploy Generative AI models using AWS services like Bedrock, SageMaker, and Lambda. Work with LLMs, embeddings, transformers, and diffusion models for applications in NLP, image generation, and AI automation. Optimize prompt engineering, fine\-tuning, and Reinforcement Learning from Human Feedback (RLHF) techniques. Build scalable MLOps pipelines for training and deploying GenAI models using SageMaker, ECS, and Kubernetes. Process and manage large\-scale datasets for AI training using AWS Glue, Athena, and Redshift. Implement vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch) for efficient retrieval\-augmented generation (RAG) applications. Design and optimize ETL pipelines for AI/ML data workflows. Collaborate with software engineers, DevOps, and product teams to integrate AI models into applications and APIs. Ensure security, compliance, and data privacy in AI/ML workflows. Monitor AI model performance and retraining needs using AWS CloudWatch, MLFlow, and other observability tools. YOUR PROFILE Strong background in Data Science, Machine Learning, and Generative AI. Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and Comprehend. Hands\-on experience with LLMs, embeddings, transformers, and diffusion models. Familiarity with Retrieval\-Augmented Generation (RAG), vector databases, and knowledge graphs. Experience in MLOps, containerization (Docker, Kubernetes, ECS), and CI/CD for ML pipelines. Solid understanding of cloud optimization, distributed computing, and model scaling. Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark. Knowledge of NLP, image generation models, or multimodal AI solutions. Nice to have: Experience with fine\-tuning open\-source models (LLaMA, Falcon, Mistral, Stable Diffusion). AWS certifications such as AWS Certified Machine Learning – Specialty. Experience with real\-time AI applications, chatbot development, or autonomous agents. Knowledge of ethical AI, bias mitigation, and AI safety best practices. WHAT YOU'LL LOVE ABOUT WORKING HERE* Join a multicultural and inclusive team environment. * Enjoy a supportive atmosphere promoting work\-life balance. * Engage in exciting national and international projects. * Hybrid work. * Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and certifications programs. * Health and life insurance. * Referral program with bonuses for talent recommendations. * Great office locations. ABOUT CAPGEMINI Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 209892\-en\_US Posted on 10 Apr 2025 Experience level Experienced Professionals Contract type Permanent Location Lisboa \- Expo, VNG \- Lake Towers, VNG \- Cais de Gaia, Lisboa \- Colombo Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

PV49+C7 Lisbon, Portugal

Negotiable Salary

Data Engineer645512982227231221

**About this job opportunity** **Our Vision** To be the world's most trusted global payroll partner, simplifying pay for all employees. **Our Mission** Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world. **Our People** Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We're committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation. **What makes this role exciting** --------------------------------- **We’re looking for a motivated and impact\-driven Data Engineer to join our Data team. You will strengthen our data platform by designing and maintaining infrastructure and tooling that empower teams to build their own analytics, reports, and data products. You will also support the delivery of reliable, production\-ready datasets that power analytics and AI/ML initiatives across CloudPay, including enabling AI/ML experimentation, training pipelines, and deploying models in production, with a focus on enhancing payroll and HR solutions.** ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **If you’re passionate about data, thrive at the intersection of innovation and want to build a platform that powers data\-driven and AI\-first solutions at global scale, this role is for you.** -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **Main responsibilities** ------------------------- * **Build and Maintain Pipelines: Design, develop, and optimize end\-to\-end data pipelines (real\-time and batch) to support ML model training, inference, and analytics in a fast\-paced, production environment.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Data Infrastructure \& Platform Evolution: Build and evolve scalable data infrastructure that empowers teams to autonomously build and run pipelines, AI/ML models, and data products.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ * **Support AI/ML Initiatives: Collaborate with Data Scientists and ML Engineers to operationalize machine learning and generative AI solutions, including model training, deployment, and monitoring.** ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ * **Optimize Data Storage \& Access: Design and maintain data storage and access patterns for high performance, scalability, and reliability.** --------------------------------------------------------------------------------------------------------------------------------------------- * **Ensure Data Quality \& Security: Implement governance, monitoring, and best practices to maintain accurate, performant, and compliant systems.** -------------------------------------------------------------------------------------------------------------------------------------------------- * **Deploy \& Manage Model Serving Systems: Ensure seamless integration of models into production environments and maintain robust monitoring and performance tracking.** ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Collaborate \& Enable: Partner with Product, Analytics, ML, and Engineering teams to provide structured datasets, enabling insights, predictive analytics, and AI\-powered features.** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Innovate \& Experiment: Explore advanced data modeling, analytical techniques, and AI infrastructure improvements to strengthen platform capabilities and create new opportunities.** --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Stay Ahead of the Curve: Evaluate and adopt emerging data and AI tools where they add clear value, balancing innovation with stability and production reliability.** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- **Experience needed for this role** ----------------------------------- * **Degree in computer science, Engineering, Data Science, or related field; advanced degrees preferred** ------------------------------------------------------------------------------------------------------- * **Proven experience in Data Engineering, with a focus on platform and infrastructure.** --------------------------------------------------------------------------------------- * **Experience supporting AI/ML pipelines, including data preparation, model training, and deployment.** ------------------------------------------------------------------------------------------------------ * **Experience implementing DevOps practices (Git, CI/CD, containerization with Docker/Kubernetes).** --------------------------------------------------------------------------------------------------- * **Passion for emerging AI/ML technologies and experience collaborating on production\-ready AI/GenAI solutions.** ----------------------------------------------------------------------------------------------------------------- * **o Hands\-on experience with cloud platforms and data infrastructure (e.g., AWS, Snowflake, Redis).** ------------------------------------------------------------------------------------------------------ * **Familiarity with modern data tools such as dbt, Dagster, Prefect, and observability/cataloguing platforms (Monte Carlo, Great Expectations, DataHub, or similar).** --------------------------------------------------------------------------------------------------------------------------------------------------------------------- * **Strong SQL expertise for large\-scale querying and optimization; experience designing and building ETL/ELT pipelines.** ------------------------------------------------------------------------------------------------------------------------- * **Proficiency in Python for data processing and AI pipeline support.** ---------------------------------------------------------------------- * **Solid understanding of data modeling and warehouse architectures, with the ability to design evolving data systems** ---------------------------------------------------------------------------------------------------------------------- **Leadership \& Communication** ------------------------------- * **Ability to translate business and AI needs into scalable solutions.** ----------------------------------------------------------------------- * **Communicate effectively with technical and non\-technical stakeholders.** --------------------------------------------------------------------------- * **Drive innovation to guide long\-term strategy and maintain CloudPay’s competitive edge.** ------------------------------------------------------------------------------------------- * **Excellent written and oral communication skills in English.** --------------------------------------------------------------- **About you and Our core values** --------------------------------- * **Taking ownership, working with integrity and respect** -------------------------------------------------------- * **Being a team player is key to our culture** --------------------------------------------- * **Solution and customer focused** --------------------------------- * **Great initiative with the goal for excellence in achieving results** ---------------------------------------------------------------------- * **Dedicated to developing and always looking for continuous improvements** -------------------------------------------------------------------------- * **Be creative, be committed, be engaged and enjoy what you do** --------------------------------------------------------------- **CloudPay is committed to being an equal opportunities employer. Competitive benefits for Spain \#LI\-AC1 \#LI\-REMOTE** The CloudPay culture is built upon on five core values, from which we develop our service, our technology and our business strategies. Our fundamental beliefs are a promise to our employees, customers and partners, built on the core values of professionalism, passion, empowerment, innovation, and teamwork.

Negotiable Salary

Mid-Senior Data Engineer (AWS)645512982872331222

Mid-Senior Data Engineer (AWS)

Mid\-Senior Data Engineer (AWS) At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE Design and implement scalable data pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis. Develop and optimize ETL workflows to process large datasets efficiently. Build and maintain data lakes and data warehouses using S3, Redshift, Athena, and Lake Formation. Ensure data integrity, governance, and security through proper IAM policies, encryption, and compliance frameworks. Work with structured and unstructured data to enable analytics, AI/ML, and business intelligence use cases. Optimize SQL and NoSQL databases (Redshift, DynamoDB, RDS, OpenSearch) for performance and cost efficiency. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Implement real\-time and batch data processing using AWS Glue. Collaborate with Data Scientists, AI/ML Engineers, and DevOps teams to support data\-driven applications. Monitor and troubleshoot data pipelines with CloudWatch, Datadog, or ELK Stack. YOUR PROFILE Strong experience as a Data Engineer with expertise in AWS cloud environments. Proficiency in Python, SQL, and Spark for data processing and transformation. Hands\-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda. Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster). Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines. Understanding of data security, IAM policies, and encryption best practices. Nice to have: AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect. Experience with Machine Learning and AI/ML data pipelines in AWS. Knowledge of serverless data engineering with Lambda and API Gateway. Hands\-on experience with NoSQL databases (DynamoDB, MongoDB, OpenSearch). WHAT YOU'LL LOVE ABOUT WORKING HERE* Join a multicultural and inclusive team environment. * Enjoy a supportive atmosphere promoting work\-life balance. * Engage in exciting national and international projects. * Hybrid work. * Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and certifications programs. * Health and life insurance. * Referral program with bonuses for talent recommendations. * Great office locations. ABOUT CAPGEMINI Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 210038\-en\_US Posted on 10 Apr 2025 Experience level Experienced Professionals Contract type Permanent Location Lisboa \- Expo, VNG \- Lake Towers, VNG \- Cais de Gaia, Lisboa \- Colombo Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

PV49+C7 Lisbon, Portugal

Negotiable Salary

Postdoc Researcher position CIDO645397406746901223

Postdoc Researcher position CIDO

Consorci Centre de Recerca Matemàtica (CRM). 1 Postdoc Researcher position. Merit-based competition. Temporary labor contract. 2025\-12\-03\. Deadline according to the calling entity's website. Open deadline. A1 \- University degree (equivalent to bachelor's degrees). Doctorate in Mathematics, Computer Science, Bioinformatics, Physics or a related field. Good written and oral communication skills in English See call for applications * Indifferent employment contract * Indifferent working hours

BP-1413, 14, 08290 Cerdanyola del Vallès, Barcelona, Spain

Negotiable Salary

Fraud Monitoring Analyst645397403398421224

Fraud Monitoring Analyst

**About Payoneer** Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world's underserved businesses to a rising global economy. We're a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi\-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. **Role Summary** We're looking for a highly motivated Fraud Analyst who will perform risk analyses and investigations, draw conclusions based on data and user behavior, and clearly communicate the findings. You will join a dynamic and fast\-paced environment, and cooperate with other teams and departments to support the monitoring processes of the risk department. The ideal candidate will have a proven track record in transaction/payment monitoring, including fraud frameworks and Anti Money Laundering \& Counter\-Terrorist Financing (CTF), or related fields. **What you'll do** * Perform risk investigations and analysis * Draw conclusions based on multiple data sets and user behavior * Conduct research and provide data\-driven analytical/risk insights * Communicate the review findings, make risk\-related decisions, and act upon them * Work closely with other teams, groups, and departments to support the development of risk\-related tools, processes, and products to improve monitoring mechanisms **Who you are** * 3 years of experience as an analyst in Risk, Compliance or equivalent domains * Proven ability to communicate effectively in English (both written and verbal) \- another language is a plus! * Experience with analysis/investigations to identify trends and patterns * Experience with open\-source investigations * Possesses a strong command of Excel and other MS Office Suite tools (Outlook, Word, etc.) **\#LI\-AG3** **The Payoneer Ways of Working** **Act as our customer's partner on the inside** *Learning what they need and creating what will help them go further.* **Do it. Own it.** *Being fearlessly accountable in everything we do.* **Continuously improve** *Always striving for a higher standard than our last.* **Build each other up** *Helping each other grow, as professionals and people.* If this sounds like a business, a community, and a mission you want to be part of, apply today. *We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case\-by\-case basis.*

Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain

Negotiable Salary

Senior Manager - Data & AI645397403554571225

Senior Manager - Data & AI

About Our Company At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your Role: Business Growth \& Client Engagement * Identify and develop new opportunities in Data \& AI across local and international markets. * Support proposals, bids, and RFPs, bringing both commercial and technical insight. * Collaborate with account executives and delivery teams to grow existing client relationships. * Represent Capgemini Engineering in AI\-focused events, conferences, and roundtables. AI \& Technical Leadership * Lead technical interviews for Data Scientists and AI Engineers, ensuring strong talent pipelines. * Advise clients on AI roadmaps, GenAI adoption, and Responsible AI practices. * Oversee technical quality and innovation across projects involving ML, GenAI, and MLOps. * Partner with global Capgemini teams to define reference architectures and accelerators for AI initiatives. Leadership \& Delivery * Manage multidisciplinary teams, ensuring excellence in delivery and client satisfaction. * Mentor managers and senior consultants to develop technical and leadership skills. * Promote continuous improvement in AI methodologies, lifecycle management, and governance. Your Profile: * 8\+ years of experience in Data \& AI, including 3\+ years in leadership or management roles * Solid expertise in Data Science, Machine Learning and/or Generative AI. * Ability to technically assess Data Scientists, AI Engineers and other Data Profiles during interviews * Familiarity with Cloud and Data Technologies * Strong business acumen with experience in client engagement, and proposal design * Background in at least one Capgemini Engineering vertical: Telco, Energy, Health, Industry, Automotive, Aerospace, or others * Excellent leadership, communication, and communication skills * Fluent in English and Portuguese What you'll love about working here* Inclusive Environment: Join a multicultural and inclusive team environment. * Work\-Life Balance: Enjoy a supportive atmosphere promoting work\-life balance. * Exciting Projects: Engage in exciting national and international projects. * Career Growth: Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. * Training and Certifications: Access to continuous training and certifications programs. * Referral Program: Benefit from our referral program with bonuses for talent recommendations. * Great Office Locations: Work in great office locations. Why Capgemini? Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Apply now! Ref. code 365778\-en\_US Posted on 19 Nov 2025 Experience level Experienced Professionals Contract type Permanent Location Fundão, Lisboa \- Expo, VNG \- Cais de Gaia, VNG \- Lake Towers Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data \& AI

R. José Vieira Coutinho, 53 - São José, Fundão - ES, 29185-000, Brazil

Negotiable Salary

IT Technician position at the Plataforma ISCIII Biomodelos y Biobancos CIDO645338546778911226

IT Technician position at the Plataforma ISCIII Biomodelos y Biobancos CIDO

Institut de Bioenginyeria de Catalunya (IBEC). 1 IT Technician position at the Plataforma ISCIII Biomodelos y Biobancos. Merit competition. Labor contract. 2025\-12\-06\. Open deadline. A1 \- University degree (equivalent to bachelor's degrees). Bachelor's or master's degree in computer science, data science, bioinformatics, biomedical engineering, or related fields. Full proficiency in English See call for applications * Indifferent labor contract * Indifferent working hours

Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain

Negotiable Salary

Investment banking intern645233537628171227

Investment banking intern

Join an intellectually rigorous finance internship designed for high\-performing individuals who are serious about launching a career in investment banking. This internship is tailored for ambitious individuals seeking real\-world exposure in financial modeling, transaction analysis, and strategic advisory. You'll work alongside experienced professionals and gain front\-line exposure to capital markets, company valuation, and deal execution workflows. **Key Learning Areas \& Tasks:** * Build and maintain detailed financial models using Excel, including DCF, precedent transaction, and comparables analysis. * Conduct industry\-specific market research and macroeconomic analysis to support transaction opportunities. * Participate in the preparation of pitch materials, investor memos, and strategic presentations. * Assist in developing client\-ready documents including deal decks and financial summaries. * Analyze company fundamentals and trends using earnings reports, M\&A data, and public filings. * Support business case development, sensitivity testing, and transaction structuring across live deals and internal projects. **What We’re Looking For:*** Currently studying or recently completed a degree in Finance, Economics, Business, or a quantitative discipline (or equivalent experience). * Strong interest in investment banking, corporate finance, and financial markets. * Familiarity with Excel modeling, PowerPoint presentations, and financial statement analysis. * Sharp analytical mind, attention to detail, and strong communication skills. * A proactive, resourceful, and self\-motivated work ethic. * International or multicultural experience is advantageous but not required. **What You'll Gain:*** Practical training in valuation, M\&A analysis, and financial strategy. * Mentorship and structured feedback from professionals with experience at top\-tier investment firms. * A results\-oriented environment that simulates real\-world investment banking workflows. * Flexible working arrangements — remote opportunities available. **Compensation:*** Paid internship route accessible **Ideal For:** Aspiring investment bankers, finance enthusiasts, and high\-agency individuals eager to gain elite experience before entering full\-time analyst roles at investment banks and private equity firms. YujfWTbzYd

Calle de Diego de León, 34, Salamanca, 28006 Madrid, Spain

Negotiable Salary

Credit Risk Analyst (Provisions)645225209683211228

Credit Risk Analyst (Provisions)

We are looking for an analytical and detail\-oriented professional to join our Provisions Modelling team. The purpose of this role is to ensure accurate and data\-driven provisioning across multiple European portfolios in accordance with IFRS 9 standards. The Credit Risk Analyst (Provisions Analyst) will contribute to the development and monitoring of PD, LGD and ECL models, ensure proper provisioning levels, and support business decisions through insightful analysis of portfolio performance across three product lines and twelve countries. This role requires close collaboration with colleagues from Risk, Finance, and other teams to align assumptions, improve model accuracy, and maintain consistent provisioning practices across the Group. ##### **Key Responsibilities:** **Provision Modelling and Monitoring** * Support the development, monitoring, and enhancement of IFRS 9 models (PD, LGD, ECL). * Perform quantitative analyses to assess provision adequacy and trends across portfolios. **Portfolio Analytics** * Analyze portfolio performance across multiple countries and product segments. * Identify drivers of changes in provisions and communicate analytical findings clearly. **Data Management and Reporting** * Extract, transform, and validate data from large\-scale databases (SQL/Excel). * Prepare monthly and quarterly provisioning reports with commentary on key movements. **Cross\-functional Collaboration** * Work closely with Finance, Risk, and Modelling teams to ensure consistency in model inputs, assumptions, and outputs. * Support coordination of quarter\-end provisioning and model update cycles. **Documentation and Compliance** * Maintain transparent documentation of methodology, assumptions, and governance related to IFRS 9 provisions. * Support internal and external validation or audit processes. ##### **Requirements and Skills:** * Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, or related). * Minimum 2 years of professional experience in **credit risk or financial provisioning**. * Solid understanding of **IFRS 9** provisioning concepts (PD, LGD, ECL) and model governance. * Strong analytical and problem\-solving skills with great attention to detail. * Hands\-on experience with SQL (querying and transforming large datasets) and Excel (advanced formulas, pivot tables, data visualization). * Experience with R or Python for statistical analysis and Power BI for dashboards is an advantage. * Fluent in English, both written and spoken, for effective collaboration across countries. * Ability to work independently and effectively in a fast\-paced, international environment. ##### **Competencies and Behaviors:** * Analytical and detail\-oriented: ensures accuracy and quality in data\-driven outputs. * Proactive and independent: takes ownership of analytical tasks with minimal supervision. * Collaborative: works effectively with cross\-country and cross\-functional teams. * Curious and improvement\-minded: seeks opportunities to refine processes and enhance model accuracy and efficiency.

C. Marqués de Larios, 7, Distrito Centro, 29015 Málaga, Spain

Negotiable Salary

R&D Data Architect645224831883551229

R&D Data Architect

Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. Join us to contribute to enterprise priority of driving innovation through data \& digital. In R\&D, the promise of bringing more medicines to more patients faster is closely linked with maximizing our data usage for improved decision\-making through analytics and AI. As a Data Architect, you will design, implement and enhance our data architecture, flows, structures and processing systems that form the core foundation for well\-structured, findable and accessible data. Your expertise will accelerate the provisioning of high\-quality data across our organization while serving as the technical lead for comprehensive data\-centric solutions utilizing data warehouses, AI, web interfaces and analytics components. Working closely with product owners and R\&D stakeholders, you will optimize how we gather, structure and leverage data to support a broad variety of reporting, analytics, decision support and (Generative) AI solutions. You'll leverage our modern Data \& AI ecosystem built on Snowflake, AWS, Informatica and Oracle technologies, becoming part of a highly skilled expert team. Your collaboration will span globally with headquarter\-based Data, Digital \& IT teams and developer teams across Europe, US and India. As the single point of accountability for technical design and implementation in your area, you will translate complex requirements into efficient data architectures and partner with our data engineering team to transform these designs into reality. The data repositories, flows and solutions you design will directly enable Merck's mission to accelerate medical breakthroughs through intelligent data utilization. **Qualification, Experience \& Skills:*** Master’s degree in computer science, mathematics, or related subjects * 6\+ years of experience as a data warehouse expert, lead data engineer, data architect or data product owner * Experience in designing complex data models and data flow architectures * Experience in guiding data engineers in the implementation of scalable, reliable and efficient data flows * Experience in working with data \& analytics solutions such as Snowflake, AWS (especially Glue, Lambda, DMS), Oracle and Informatica (PowerCenter and IICS). Experience working with Azure Dev Ops and warehouse automation tools (e.g. dbt, coalesce) is a plus * Conceptional experience in testing of data integrations and data models * Strong knowledge of SQL, with knowledge of Python (in particular pandas and PySpark) being a plus * Strong drive to think of data flows from end\-to\-end, i.e. from ingestion to data modelling and solution delivery * Experience with Healthcare R\&D is a plus * Excellent English and Spanish communication skills and ability to effectively communicate both with R\&D scientists and software engineers * Experience working in virtual and agile teams **What we offer:** We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Carrer de Sant Llorenç, 4, 08100 Mollet del Vallès, Barcelona, Spain

Negotiable Salary

Previous
1(current)
2
3
More
18
Next

Popular Cities

Andalusia Mathematics， Statistics & Information Sciences Aragon Mathematics， Statistics & Information Sciences Asturias Mathematics， Statistics & Information Sciences Balearic Islands Mathematics， Statistics & Information Sciences Basque Country Mathematics， Statistics & Information Sciences Canary Islands Mathematics， Statistics & Information Sciences Cantabria Mathematics， Statistics & Information Sciences Castille and Leon Mathematics， Statistics & Information Sciences Castille-La Mancha Mathematics， Statistics & Information Sciences Catalonia Mathematics， Statistics & Information Sciences

Help

Cookie

Cookie Settings

Our Apps

Download on the

APP Store

Download

Get it on

Google Play

© 2025 Servanan International Pte. Ltd.