Data Science Lead - GenAI

Reference No.: R2744845

Location: Downtown area of Toronto, Ontario

About the Job

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.

Your Job? As a dynamic Data Science Lead, you are passionate about challenging the status quo and ensuring the development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influential leader with hands-on experience deploying AI/ML and GenAI solutions, applying state-of-the-art algorithms with technically robust lifecycle management. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

• Lead the design and development of custom Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) components for both batch and stream processing-based AI ML pipelines.
• Oversee the creation of model components, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and fine-tuning, ensuring alignment with technical and business requirements.
• Work closely with data engineers, ML Ops, software engineers, and other tech team members to collaboratively design, develop, and implement ML model solutions, fostering a cross-functional and innovative environment.
• Implement model optimizations to enhance system efficiency based on evaluation results.
• Contribute to the development and implementation of deployment strategies for NLP, LLM, and Gen AI models.
• Collaborate closely with product teams, business stakeholders, data science team members to ensure the smooth integration of machine learning models into production systems.
• Foster strong communication channels and cooperation across different teams for successful project outcomes.
• Proactively troubleshoot complex issues related to machine learning model development and data pipelines.

About You

• PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 5+ years of data science experience.
• 3+ years developing NLP models, including transformer architectures and implementing information search and retrieval at scale.
• Hands-on experience with LLMs (GPT, Claude) and common platforms.
• Knowledge of Vector Databases and developing RAG applications.
• Disciplined AI/ML development, including CI/CD and orchestration.
• Cloud and high-performance computing proficiency (AWS, GCP, Databricks, Apache Spark).
• Experience deploying models in agile, product-focused environments.
• Demonstrated experience of managing technical build and development teams required.

Preferred Qualifications

• Experience working in the technology industry or tech consulting.

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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