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Data Scientist - Machine Learning

Indeed

Company

Job typeFull-time
Workplace typeHybrid
Experience level1 to 2 years
Education levelBachelor's Degree

Description

**Capgemini Engineering**, a global leader in engineering services, brings together teams of engineering, science, and technology professionals to help the world’s most innovative companies unlock their potential and contribute to a better future. From autonomous vehicles to life-saving robots, our digital technology and software experts think beyond convention, delivering unique R\+D and engineering services across all industries. Join the team and advance your career at a company offering growth opportunities—where you can make a difference and no two days are ever the same! **About the Role** At **Capgemini Engineering**, we are seeking a **Data Scientist \- Machine Learning** to join a technological project in the aerospace sector. The selected candidate will participate in developing Machine Learning and predictive analytics solutions, working from data preparation and analysis through to model implementation and monitoring in production environments. **What You’ll Do in This Project?** * Analyze, process, and transform structured and unstructured data. * Design, develop, and validate Machine Learning and predictive analytics models. * Conduct exploratory analyses to identify patterns and generate relevant insights. * Participate in deploying and monitoring models in production environments. * Collaborate with business, engineering, and product teams to identify data-driven opportunities. * Create visualizations, reports, and presentations to communicate findings. * Participate in advanced artificial intelligence and analytics initiatives. **Your Profile** To thrive in this position, you should have: * A degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related field. * 3–5 years of experience as a Data Scientist, Machine Learning Engineer, or in similar roles. * Proficiency in Python and analytical and Machine Learning libraries such as Pandas, NumPy, and Scikit\-learn. * Experience developing supervised and unsupervised learning models. * Knowledge of SQL and experience working with relational databases. * Experience handling and analyzing large volumes of data. Holding a disability certificate is considered favorably within our inclusion and diversity policy. We value all applications. We offer extensive training programs and certification opportunities. Even if you don’t meet 100% of the requirements, we’d love to hear from you! **Why You’ll Love Working Here** We offer a flexible environment with growth opportunities: * A uniquely valued workplace, consistently rated highly by our professionals in periodic evaluations. * Wellbeing HUB \- Includes policies and initiatives for physical health (Wellhub) and mental well-being. * 24 vacation days \+ 2 personal days \+ December 24 and 31 \+ option to purchase up to 7 additional vacation days per year. * FlexAbroad: possibility to work remotely from another country for up to 45 days. * Flexible Compensation Plan (health insurance, transportation, training, meal card or food allowance, childcare support, etc.). * Continuous learning—you’ll have access to Mylearning, Capgemini University, Digital Campuses, and Professional Communities. You’ll also gain access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, and Education First for language learning (English, French, German, etc.)—among others! * Participation in volunteering and social action initiatives through our Sustainability, Inclusion, and Equality Groups. * Onboarding support via our Buddy Program. * Life and Accident Insurance **Why Capgemini Engineering?** Capgemini is a global leader in digital transformation and business management, driving an inclusive and sustainable future through technology. We employ over 360\.000 professionals across more than 50 countries. Our commitment to equal opportunity is reflected in our Equality Plan and Code of Ethics, ensuring a discrimination-free environment—regardless of origin, ethnicity, nationality, gender, age, sexual orientation, gender identity, religion, or any other personal or social circumstance. **Rewrite Your Future. Join Capgemini Engineering!** Apply now at www.capgemini.com/es\-es \#LI\-AR13

Source: indeed
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David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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