Lead Data Scientist in Kamloops

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, supported and inspired by a collaborative community of colleagues around the world, and 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.

About The Role

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.

Required Skills

• Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
• 10+ 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

Must Have Skills

• 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

Nice To Have Skills

• Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
• Experience working with knowledge graph, graph-based learning approaches
• Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• 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

Disclaimer

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.