Data and ML Engineer Catalyst

Reference No. R2830082

Position Title: Data and ML Engineer Catalyst

Department: RWD & HI Engineering

Location: Toronto, ON, Hybrid

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?

As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.  

Our vision for digital, data analytics and AI:

Sanofi has embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.  

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.  

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. 

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.  
• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.  
• World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets. 

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. 

As a member of Sanofi’s Global AI Centre of Excellence in Toronto, you will be working on a team that is globally diverse, with members here in Toronto as well as across our global hubs in France, Spain and USA. You’ll be engaged in a structured program that’s focused on driving the growth of your technical knowledge and business acumen. Based on your skills and background, you’ll be aligned to one of Sanofi’s five core data and AI functions to deliver on meaningful strategic initiatives - whether that be in data science, data and business analysis, data and ML engineering, software engineering, or data and AI strategy. This approach ensures that you specialize in your area of interest, while being engaged as part of a larger cohort of colleagues to collectively build core skills in strategic problem solving, product design, agile ways of working, and leadership. Upon completion of the two years, you’ll be provided the opportunity to a preferred position, responding to Sanofi’s business needs.

Data and ML Engineer – As a Data and ML Engineer within the Data and AI Future Catalyst Program you’ll have the opportunity to work on projects within our commercial (focused on creating innovative AI products across our 100+ markets), M & S team (focused on using AI for supply chain and manufacturing problems), real world data team (focused on creating new real world data solutions) and R&D (focused on using machine learning to propel data driven drug discovery). 

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:

• Gather, organize, and transform large, complex data assets using scripting and GUI-based tools to meet business needs.
• Develop and maintain data and ML engineering solutions based on defined requirements and design specifications.
• Build, test, and optimize data and ETL pipelines, ensuring high performance and reliability.
• Create clear, standards-based documentation to support knowledge transfer, training, and ongoing maintenance.
• Ensure data quality and proper management of data assets across the full data lifecycle.
• Design data models and optimize query performance, leveraging standard data pipelines to deliver business value.
• Collaborate with business and product teams to translate requirements into technical solutions.
• Develop automated tests and support CI/CD pipeline practices in a cloud-first environment using modern tech stacks.
• Design AI/ML applications and implement automated monitoring, adaptation, and validation in partnership with data scientists.
• Build, deploy, and monitor production-grade ML models and algorithms, supporting the full ML lifecycle from experimentation to continuous improvement.

About You

Qualifications & Key Technical Requirements:

• 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 along with experience with database systems (e.g., SQL, NoSQL), data structures, algorithms, computational methods and cloud computing 
• Ability to work across the full stack and move fluidly between programming languages and data platform / MLOps technologies (e.g.: Python, Spark, SnowPark, Github, MLFlow, Airflow, Snowflake, AWS) as well as experience with cloud computing environments (e.g., AWS, Azure, GCP)
• Working understanding of data engineering techniques with experience building and maintaining data pipelines (e.g., ETL, orchestration, automation).
• Experience with CI/CD practices and AI/ML orchestration workflows, ensuring disciplined model development and deployment
• Hands-on experience building generative AI or ML applications or working within a production software environment is a strong plus.

How to apply:

Complete your electronic application, including the following attachments:

• Cover letter (optional)
• Resume
• Most recent unofficial transcripts 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.