Lead Data Scientist

Reference No. R2811633

Position Title: Lead Data Scientist

Department: Commercial Data Science

Location: Downtown Toronto, ON (Hybrid - 3 days a week onsite)

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.

 

Sanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science. 

We are seeking a highly skilled and visionary Lead data scientist to drive innovation and impact at the intersection of AI and Commercial Pharma operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.

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 design, development and deployment of scalable AI, GenAI and agentic AI solutions aligned with strategic priorities across Sanofi’s Global Business Units

• Directly contribute to digital transformation of commercial functions, with impactful use cases such as

• • Autonomous agents for omnichannel engagement

  • AI & GenAI driven transformation of market access and payer strategies

  • Conversational AI for data interactions and insights (Talk-to-data capabilities)

  • Development of unified platform of sales, marketers and MSL users powered by multi-agent systems

  • Enhancing the patient journey through intelligent and personalized support

• Work closely with product owners, business stakeholders, data scientists, and engineering teams to deliver the genAI products that create measurable business value

• Provide critical input in shaping the digital Commercial AI strategy

• Influence the AI platform and data foundation strategies

• Use creative ways to tell stories to technical and non-technical audiences

• Make sure that AI solutions stay compliant with the responsible AI framework

• Adhere to and promote to best practices and standards for GenAI/Agentic AI process (including documentation) and code developments

• Remains up to date with evolving GenAI, Agentic AI and other AI landscape, bring in best practices, tools and other innovative ideas to enhance existing solutions

• Publish whitepaper and Patent on innovation in AI in commercial space

• Mentor and coach junior data scientists and interns

About You

 

Required Qualifications:

• PhD or Master’s in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field.

• 7+ years of experience in applied AI/ML, with 2+ years hands-on in GenAI or LLM-based applications and familiarity of agentic AI frameworks.

• Strong coding skills (Python is a must, Java is a good to have) with experience of using AI libraries (e.g. Transformers, LangChain, RAG pipelines)

• General knowledge of NLP tools like regex and fuzzy string matching

• Proficiency in working with variety of data assets (Structured and un-structured) hosted in different databases like Snowflake, pinecone

• Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI steps by building AI agents Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment

• Experience in production-ready model & software development

• Deep understanding on managing AI/Gen-AI end-to-end life-cycle management

• Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies and native ML/GenAI tools for building AI-solutions

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

• Knowledge of regulatory, compliance and ethical considerations in AI/GenAI

• Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence

Functional Skills:

• Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business

• Experience in leading the data science & AI projects and working closely with junior data scientists and data analysts

• Identify and manage blockers, risks, and interdependencies across Agile teams

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

• Nice to have experience in life sciences and healthcare and experience in a complex global organization

• A demonstrated ability to work and collaborate in a team environment, working with multi-cultural global team

• Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities

• Fluent in English (Other languages a plus)

 

Why Choose Us

 

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team 

• An attractive, market-oriented salary and other benefits 

• Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days 

• Collective life and accident insurance 

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact

• Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others 

• An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks 

• Your own career path within Sanofi. Your professional and personal development will be supported purposefully

 

This position is for a current 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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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!

North America Applicants Only

The salary range for this position is:

$125,300.00 - $208,800.00

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

La fourchette salariale pour ce poste est la suivante:

$125,300.00 - $208,800.00

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.