Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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 Engi

📌 Data Scientist (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes