Senior Data Scientist

About the role

Capgemini Engineering is seeking a Senior Data Scientist to lead cross‑functional AI/ML initiatives and shape the enterprise‑wide AI vision and strategy. The role combines tactical execution with long‑term strategic planning, working both independently and collaboratively.

Key responsibilities

• Own end‑to‑end model development for pricing, demand forecasting, and elasticity estimation, and productionize models in Azure ML and Databricks.
• Implement prescriptive analytics using Linear Programming, Mixed Integer Programming or Reinforcement Learning.
• Maintain feature stores, model monitoring workflows, and drift checks with MLflow.
• Design and execute A/B tests or quasi‑experiments to measure revenue and pricing uplift.
• Apply SHAP, LIME and other interpretability tools to explain model behavior to Revenue Management partners.

Required profile

• 2–4 years of hands‑on Data Science experience delivering production‑grade ML solutions.
• Strong ability to translate technical concepts into actionable business insights and communicate with stakeholders.
• Experience communicating assumptions, risks, and trade‑offs in clear, executive‑ready narratives.

Required skills

• Python (scikit‑learn, XGBoost)
• Spark/Delta, SQL
• Azure ML, Databricks, MLflow
• Familiarity with PyTorch or TensorFlow
• Linear Programming, Mixed Integer Programming, Reinforcement Learning
• Model interpretability tools such as SHAP and LIME

What we offer

• Permanent contract with long‑term job security
• Access to online training platforms and professional development resources
• Weekly virtual English classes and language conversation sessions
• Comprehensive prepaid medical and dental plans
• Life and accident insurance
• Wellness discounts and benefits through fitness and technology partners