Role Overview
We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. The role offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.
What You Will Do
As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.
Why It Might Be a Fit
You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization, and customer insights.
Requirements
- Master’s or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
- 7 years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
- Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
- Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
- Experience in formulating and solving optimization problems
- Knowledge of model evaluation, tuning, performance measurement, deployment, and solution scalability
- Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams
Benefits
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching, and learning programs
- Employee Resource Groups
- Disaster Relief
To apply for this job please visit careers.capgemini.com.

Follow us on social media