Data Scientist

Sanofi•Toronto, ON

19d•CA$100,500 - CA$150,500•Onsite

About The Position

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. As Data Scientist within our team Digital Commercial Advanced Analytics and AI, you will drive innovation at the intersection of AI and Commercial Pharma operations. This pivotal role positions you as an integral part of Sanofi's Digital Organization, spearheading digital transformation across our global enterprise. You will design, develop, and deploy scalable AI, GenAI, and Agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units. Your work will directly contribute to revolutionary transformation initiatives, creating impactful use cases including autonomous agents for omnichannel engagement, AI-powered market access and payer strategies, conversational AI for seamless data interactions, and unified platforms empowering sales teams and Medical Science Liaisons through multi-agent systems. You'll also enhance patient journeys through intelligent, personalized support solutions. Collaboration is central to this role as you work with product owners, business stakeholders, data scientists, and engineering teams to deliver AI products that create measurable business value. Your strategic influence extends beyond technical implementation – you'll shape Sanofi's digital Commercial AI strategy and influence both AI platform and data foundation strategies. Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

Requirements

Bachelor’s in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field. Masters preferred.
3+ years of professional experience as a Data Scientist applying AI/ML techniques
Basic understanding on GenAI Proof-Of-Concept (POC)
Strong coding skills in Python 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 Snowflake, Pinecone is a plus
Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI steps
Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development
Experience in production-ready model & software development
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
Experience with various enterprise-level Application Programming Interfaces (APIs)
Knowledge of regulatory, compliance and ethical considerations in AI/GenAI

Nice To Haves

Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business
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
Relevant Data Science/Agentic/Gen AI certifications demonstrating expertise in analytics, machine learning, or advanced AI methodologies is a plus.
Fluent in English

Responsibilities

Design, develop and deploy the scalable AI, GenAI and agentic AI solutions aligned with strategic priorities across Sanofi’s Global Business Units
Work closely with product owners, business stakeholders, data scientists, and engineering teams to deliver the AI 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
Mentor and coach junior data scientists and interns
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.