Data and AI Engineer Catalyst

Position Title: Data and AI Engineer Catalyst

Department: ML Solutions Engineering

Location: Toronto, ON, Hybrid

About the Job

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. 

You’ll join as one of four role types in the Sanofi Data and AI Future Catalyst Program - a 2-year program that will provide you with an unparalleled opportunity to try different projects and learn about our different pharmaceutical business domains. This opportunity will allow for personal and professional growth, as no two experiences will be alike and you’ll have the opportunity to carve your own path. You’ll work with multi-faceted teams to design and build AI products, create cutting-edge, scalable platforms, and enable Sanofi to make the best value of data, transforming people’s lives in 90+ countries around the global. Whatever projects you’re working on, you’ll learn from world-class leaders who come from industry and academia backgrounds, pushing you to stretch your goals and achieve your best.  

You are a curious and driven early-career data engineer or recent graduate who is excited to learn, grow, and contribute to impactful projects. You are passionate about data, technology, and innovation, and eager to work in a collaborative environment where your ideas and energy will help accelerate Sanofi’s digital transformation. You may not have years of experience yet, but you bring strong foundational skills, a growth mindset, and a desire to make a difference through data and AI. Here is what we can provide.

• Mentorship & Training: Work alongside experienced engineers, data scientists, and AI experts who will support your development.

• Cutting-Edge Projects: Contribute to real-world initiatives that use data and AI to improve manufacturing, supply chain, and patient outcomes.

• Collaborative Environment: Join agile teams and cross-functional pods where learning and experimentation are encouraged.

• Career Growth: Build your skills and explore opportunities across Sanofi’s global digital ecosystem.

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:

• Participating in the design and development of data engineering solutions under guidance from senior team members.

• Helping to build and maintain data pipelines and workflows using modern tools and technologies.

• Collaborating with product and business teams to understand requirements and translate them into technical tasks.

• Contributing to testing, documentation, and deployment of data solutions.

• Learning and applying best practices in data quality, security, and governance.

• Engaging with the Data & AI Engineering community to share knowledge and grow your expertise.

• Supporting continuous improvement efforts and bring fresh ideas to the team.

About You

Key Technical Requirements and Qualifications:

• Must have participated in the Sanofi Digital Co-Op program at some point during 2024 or 2025 and be eligible for a May/June 2026 start date. 

• Must be legally authorized to work for Sanofi in Canada. 

• An undergraduate degree or higher in a STEM field preferred, with foundational business knowledge.  

• Experience with any or all of: data storytelling, strategy planning, project management, agile ways of working, business analysis, data analysis, data visualization, executive reports. 

• Strong oral and written communication skills, with the ability to tell a meaningful and persuasive story through reporting. 

• Strong critical thinker with decision-making and judgement skills. 

• Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.). 

• Passion for life sciences and global healthcare.

• Academic or personal project experience with data tools and programming (e.g., Python, SQL).

• Understanding of data structures, algorithms, and basic cloud concepts.

Preferred Requirements and Qualifications:

• Exposure to data platforms or tools such as Snowflake, Airflow, or GitHub is a plus.

• Familiarity with data modeling, ETL concepts, or cloud services (AWS, GCP, Azure) is a bonus.

• Interest in AI/ML concepts and how they apply to real-world problems.

• Awareness of agentic AI systems, LLMs, or emerging AI technologies.

• Experience with academic or personal projects involving data analysis, visualization, or automation.

• Familiarity with tools like PowerBI, Tableau, Jupyter Notebooks, or version control systems.

How to apply:

Complete your electronic application, including the following attachments:

• Cover letter (optional)

• Resume

• Most recent unofficial transcript from all degrees

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 new vacant role that we are actively hiring for.​

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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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.