AI Data Scientist

Description

**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. From autonomous vehicles to wildfire prevention solutions, our digital technology and software experts go 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. We are seeking a Senior Data Scientist with solid experience in developing and implementing predictive models and advanced analytics. The selected candidate will participate in strategic artificial intelligence projects, collaborating with business, engineering, and data architecture teams to deliver high-impact, data-driven solutions. **What will be your role?** ---------------------- * Design, develop, and deploy predictive models and machine learning algorithms. * Analyze large volumes of data to identify patterns, trends, and business opportunities. * Build robust and scalable data pipelines. * Implement monitoring processes and continuous improvement for production models. * Collaborate with multidisciplinary teams to translate business needs into analytical solutions. * Ensure data quality, traceability, and governance. * Participate in defining modern data architectures in cloud environments. **Your profile** ------------- Degree in Mathematics, Statistics, Engineering, Computer Science, or a related field. 5+ years of experience in Data Science or Advanced Analytics. Proven experience in: * Predictive modeling (regression, classification, forecasting, segmentation, etc.). * Machine Learning and model evaluation. * Python and the data science ecosystem (Pandas, Scikit\-Learn, NumPy, Matplotlib). * Advanced SQL. Experience working with: * AWS (S3, Glue, Athena, SageMaker, Lambda, or other related services). * Snowflake as a data storage and analytics platform. * dbt (Data Build Tool) for data transformation and modeling. Familiarity with Agile methodologies (Scrum/Kanban). Professional-level English. We welcome all applications and offer in-person, online, and certification-based training. Even if you don’t meet 100% of the requirements, we’d love to meet you! **What will you enjoy about working here?** ------------------------------------- We offer a comprehensive portfolio of Development and Work-Life Balance initiatives, including but not limited to: * Continuous training—you’ll have access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, and Education First for language learning (English, French, German, etc.). * Flexible Compensation Plan (health insurance, transportation, training, meal card or food allowance, childcare support, etc.). * Life and Accident Insurance. * 24 vacation days \+ 2 personal days \+ December 24 and 31 \+ option to purchase up to 7 additional vacation days per year. **Why Capgemini Engineering? Our commitments and priorities** ---------------------------------------------------------------------- Our Equality Plan and Code of Ethics ensure inclusive, non-discriminatory processes that foster talent within a multicultural and accessible environment for people with disabilities (holding a disability certificate is viewed positively). Capgemini is a global partner for business and technological transformation, helping organizations accelerate their dual transition toward a digital and sustainable world—delivering tangible impact both for businesses and society. We are a responsible and diverse group, with 340\.000 professionals across 50+ countries. With over 55 years of history, our clients trust Capgemini to harness the value of technology and address all their business needs. We deliver end-to-end solutions—from strategy and design to engineering—powered by our leadership capabilities in artificial intelligence, generative AI, cloud, and data, combined with deep industry expertise and a strong partner network. Rewrite your future. Join the team!