About Sanofi
We’re an R&D-driven;, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.

Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.

Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.

Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.

Work with developers, engineers, and MLOps to deliver AI/ML solutions.

About You
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi’s AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

Key Functional Requirements and Qualifications

Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.

Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization.

Experience developing deployable code and deploying models in product-focused development under an agile environment.

Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).

Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.

A demonstrated ability to work and collaborate in a team environment.

Nice to have:



Experience in life sciences and healthcare and experience in a complex global organization.

Key Technical Requirements & Qualifications

MS – mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills – preferred. BS – required.

4+ years of analytical experience – required.

Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL).

Disciplined AI/ML development (CI/CD, Orchestration).

Knowledge ofTableau, Power BI, Plotly or similar.

Experience with various enterprise-level Application Programming Interfaces (APIs).

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.

This position is for a current vacant role that is now open for applications.

AI Usage
“Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring,



ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,can also be used torequest access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to culture, inclusion, and experience. Our goal is to attract, develop and retain highly talented employees, 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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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and extra benefits information can be found here.

Join Sanofi and step into a new era of science – where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never‑been‑done‑before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.

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📌 Data Scientist – Applied AI/Gen AI (Ontario)
🏢 BioTalent Canada
📍 Ontario