Catalyst Program 2025 - Data Scientist

Toronto

Sanofi

Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.

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Reference No. R2774664​

Position Title: Catalyst Program - Data Scientist​

Department: Commercial Data Science

Location: Toronto, Ontario, Data Hub

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 Scientist – As a data scientist 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), industrial affairs 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: 

You will specifically,

  • Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization across various analytics projects

  • Develop 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 closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutions

  • Adhere to and promote to best practices and standards for data science process (including documentation) and code developments

  • Remains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutions  

About You

Eligibility Requirements:  

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

Preferred Requirements:

  • A PhD in computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with two years of analytical experience

  • Good exposure with core data science languages (predominantly with Python, and nice to have R & Scala), Snowflake and other different database systems (such as SQL, NoSQL)

  • Understand the deployment of AI/ML solutions (CI/CD, Orchestration)

  • Knowledge and some experience of working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions

  • Knowledge of Tableau, Power BI, Plotly, git/version control systems or similar

  • Experience in using some data science tools such as datarobot, dataiku, Alteryx
     

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

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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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  6  3  0
Category: Data Science Jobs

Tags: Agile AI strategy AWS Azure CI/CD Computer Science Data analysis Data Analytics Data management DataRobot Data visualization Deep Learning Drug discovery Engineering GCP Generative AI Git Industrial Machine Learning Mathematics MLOps NLP NoSQL Pharma PhD Physics Plotly Power BI Python R R&D Research Scala Snowflake SQL Statistics STEM Tableau

Perks/benefits: Career development Equity / stock options Health care Startup environment Team events Wellness

Region: North America
Country: Canada

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