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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world. We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources. We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes. The Value You Deliver 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. 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. D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline 5+ 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 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 Strong hands‑on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.) Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.) Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. Versatile work Healthcare including dental, vision, mental health, and well-being programs 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 Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. This role may be eligible for other compensation including variable compensation, b

📌 Senior Data Scientist (Canada)
🏢 Capgemini
📍 Canada