About this role
Your Role
As a Data Scientist – Pricing Automation & Optimization at Capgemini, you will design, develop, and deploy advanced machine learning and optimization solutions that drive pricing strategy, revenue growth, and business performance. You will work closely with cross-functional teams and senior stakeholders to transform complex business challenges into scalable AI/ML solutions.
This role requires a strong foundation in data science, machine learning, experimentation, and optimization techniques, combined with the ability to communicate technical insights to both technical and business audiences. You will contribute to strategic AI initiatives while delivering production-grade analytical solutions in cloud-based environments.
Responsibilities & Scope
Develop and deploy end-to-end machine learning models for: Pricing optimization Demand forecasting Price elasticity estimation Build, productionize, and maintain ML solutions using Azure ML, Databricks, and modern MLOps practices. Implement prescriptive analytics and optimization techniques using: Linear Programming Mixed Integer Programming (MIP) Reinforcement Learning Design, develop, and maintain feature stores, model monitoring processes, and model drift detection frameworks using MLflow. Design and execute experiments, A/B testing initiatives, and quasi-experimental analyses to measure business impact and revenue improvements. Apply model interpretability techniques such as SHAP and LIME to explain model outputs and support business decision-making. Collaborate closely with Data Engineering teams to establish data quality standards, data contracts, and scalable analytical solutions. Support CI/CD and MLOps processes using Azure DevOps and cloud-native development practices. Develop scalable API and batch-serving solutions for machine learning models. Present insights, recommendations, risks, assumptions, and trade-offs to stakeholders through executive-level communications and data storytelling.
Your Profile
Data-driven problem solver – Uses advanced analytics and machine learning to solve complex business challenges and generate measurable value. AI/ML expertise – Strong understanding of predictive modeling, optimization methods, and machine learning lifecycle management. Business-oriented mindset – Translates technical findings into meaningful business recommendations and actionable strategies. Collaborative communicator – Effectively partners with technical teams, business leaders, and cross-functional stakeholders. Continuous learner – Stays c