Data Scientist

Description

**Job Description** ------------------- Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world’s most innovative companies unlock their potential and contribute to a better future. Join our 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. We are looking for a **Data Scientist** to work on an international remote project. **Key Responsibilities:** * Design, develop, and implement *machine learning* and *deep learning* models for predictive analytics and classification. * Develop and fine-tune NLP solutions, including work with **LLMs**. * Conduct advanced data analysis to identify insights and support strategic decision-making. * Write efficient and scalable code in **Python** and **PySpark**. * Use **SQL** to extract, manipulate, and query large volumes of data. * Build and deploy models using **AWS** services (e.g., SageMaker, Glue, Lambda). * Collaborate with data engineers, data analysts, and *stakeholders*. * Stay current with trends and technologies in data science, AI, and cloud computing. **Required Qualifications:** * Experience in Machine Learning, Deep Learning, and NLP/LLMs. * Solid knowledge of **Python** and **PySpark**. * Advanced SQL. * Experience with **AWS** (SageMaker, Glue, Lambda). * Ability to perform complex analyses and communicate results effectively. * Knowledge of Git or other version control tools. * Bachelor’s or Master’s degree in Computer Science, Data Science, or Statistics. * English B2\. **Preferred Qualifications:** * Experience in MLOps and deploying models into production. * Familiarity with visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). * Exposure to big data technologies and distributed environments. **What We Offer:** * Indefinite-term contract. * Childcare allowance (up to €600 b/a). * Meal allowance (€1,200 b/a). * Technical, soft skills, and language training. * A real, role-adapted career development plan. **Why Capgemini?** Capgemini is a global leader in transforming and managing clients’ businesses by harnessing the full power of technology. Our purpose is to achieve an inclusive and sustainable future through technology and the energy of those who build it. We are a responsible and diverse company, an international leader in IT and Engineering services, with over 360,000 professionals across more than 50 countries. With a strong 55-year heritage and deep industry expertise, clients trust Capgemini to address their full business needs—from strategy and design to operations—powered by the fast-moving, innovative world of cloud, data, AI, connectivity, software, platforms, and digital engineering. In 2022, the Group reported global revenues of €22 billion. Rewrite your future. Join our team. www.capgemini.com/es\-es **\#LI\-VW1** **Job Description \- Grade Specific** ------------------------------------- The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.