Capgemini is seeking a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. This role provides an exciting environment for multidisciplinary AI research and development with access to diverse data sources. We welcome applicants from computer science, machine learning, data mining, optimization, and related fields who are passionate about delivering AI-powered solutions that drive meaningful customer and business outcomes. You will work closely with business stakeholders to deploy AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization, and customer insights. Key skills include Python, SQL, MLOps, and modern AI/ML frameworks, plus experience with GenAI, RAG, agentic AI workflows, and LLM evaluation. Required qualifications: Master’s or PhD in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related discipline; 5 years of related experience in AI/ML or data science; experience with unsupervised and supervised learning, predictive modeling, recommender systems, deep learning, graph-based learning; experience with NLP frameworks, GenAI solutions, and LLMs; experience in optimization; familiarity with model evaluation, deployment, governance. Nice to have: time-series forecasting with ML/DL and knowledge graphs, optimization solvers. Location: Westlake, TX; Smithfield, RI; Boston, MA; Merrimack, NH; Durham, NC. Day One onsite – Hybrid. Capgemini is an Equal Opportunity Employer committed t

Capgemini is seeking a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. This role provides an exciting environment for multidisciplinary AI research and development with access to diverse data sources. We welcome applicants from computer science, machine learning, data mining, optimization, and related fields who are passionate about delivering AI-powered solutions that drive meaningful customer and business outcomes. You will work closely with business stakeholders to deploy AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization, and customer insights. Key skills include Python, SQL, MLOps, and modern AI/ML frameworks, plus experience with GenAI, RAG, agentic AI workflows, and LLM evaluation. Required qualifications: Master’s or PhD in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related discipline; 5 years of related experience in AI/ML or data science; experience with unsupervised and supervised learning, predictive modeling, recommender systems, deep learning, graph-based learning; experience with NLP frameworks, GenAI solutions, and LLMs; experience in optimization; familiarity with model evaluation, deployment, governance. Nice to have: time-series forecasting with ML/DL and knowledge graphs, optimization solvers. Location: Westlake, TX; Smithfield, RI; Boston, MA; Merrimack, NH; Durham, NC. Day One onsite – Hybrid. Capgemini is an Equal Opportunity Employer committed t