Data Scientist

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.
Job Description
Your Role:
Must-have: Core ML
Strong SQL: complex joins, CTEs, window functions, and query performance tuning.
Strong Python.
PySpark or similar.
Real forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects.
Coursework does not count.
XGBoost and/or LightGBM in production.
SHAP to explain and debug models for non-technical stakeholders.
Must-have: GenAI / Agentic
Hands-on agentic coding with Claude Code, Codex, or Cursor.
Has built (not only advised on) GenAI products: RAG, vector search, agents with tool use.
LLM APIs at scale: batch or async jobs with thousands of calls (data labeling, metadata extraction from text), not one-off prompts.
Must-have: Platform
Azure and/or Databricks (both preferred).
Strong GCP/Vertex or AWS/SageMaker experience is acceptable.
#LI-DC10
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.