Data Scientist
Job Description
Your role
We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role bridges tactical execution and long-term strategic planning, requiring a visionary who can work both independently and collaboratively with data analytics professionals across and outside our client AI/ML solutions.
In this role you will play a key role in:
Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks
Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning
Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage)
Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact
Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners
Your profile
2–4 years of hands-on Data Science experience delivering production-grade ML solutions
Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus
Strong understanding of experimental design, statistical testing, and causal inference basics
Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication
Experience communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives
What you'll love about working here
Empowering environment: Autonomy and Goal setting are among the top scores with 8,4+ ratings in our monthly employee feedback Pulse.
Dedicated innovation labs: We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics as 5G, 6G, AI, Autonomous Vehicles and Quantum.
Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth.
#LI-NO1
#LI-Remote
Your role
We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role bridges tactical execution and long-term strategic planning, requiring a visionary who can work both independently and collaboratively with data analytics professionals across and outside our client AI/ML solutions.
In this role you will play a key role in:
Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks
Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning
Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage)
Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact
Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners
Your profile
2–4 years of hands-on Data Science experience delivering production-grade ML solutions
Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus
Strong understanding of experimental design, statistical testing, and causal inference basics
Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication
Experience communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives
What you'll love about working here
Empowering environment: Autonomy and Goal setting are among the top scores with 8,4+ ratings in our monthly employee feedback Pulse.
Dedicated innovation labs: We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics as 5G, 6G, AI, Autonomous Vehicles and Quantum.
Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth.
#LI-NO1
#LI-Remote