Lead Data Scientist

Sanofi • Toronto, ON

23h • CA$127,000 - CA$177,000 • Hybrid

About The Position

Sanofi is 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 part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of the Sanofi Digital Organization. The Sanofi 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 markets, R&D, and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, Budapest, and Hyderabad. This is an opportunity to join a dynamic, fast-paced, and talented team, with world-class mentorship, using AI to chase the miracle of science.

Requirements

• Master or PhD Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, Computational Linguistic or a related field
• 4+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or related disciplines, with a proven track record of delivering business impact through data-driven solutions
• 1+ years hands-on experience in GenAI or LLM-based applications and familiarity of Agentic AI frameworks
• Strong programming skills in Python or Java or other enterprise programming languages
• SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular, Typescript etc.
• Experience developing AI applications using modern frameworks and libraries such as LangChain, LangGraph & Transformers
• Strong expertise in machine learning methodologies including predictive modeling, classification, regression, forecasting, recommendation systems, optimization, causal inference, experimentation, and statistical analysis
• Strong understanding of agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, and AI application evaluation frameworks
• 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, vector databases, and cloud-native AI services
• 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 Haves

• Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
• Proven ability to lead complex AI and Data Science initiatives involving multiple stakeholders and cross-functional teams
• Ability to influence technical direction and design decisions through expertise and thought leadership rather than formal authority
• Strong stakeholder engagement skills with the ability to translate business challenges into analytical and AI solutions.
• Experience presenting technical concepts and recommendations to both technical and business audiences
• Excellent communication, storytelling, problem-solving, and collaboration skills
• Ability to balance innovation, technical excellence, business priorities, and delivery timelines
• Experience in life sciences and healthcare
• 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)

Responsibilities

• Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions that drive measurable business value across Commercial functions.
• Serve as the subject matter expert for complex AI initiatives, providing guidance on solution architecture, model selection, experimentation approaches, and implementation best practices.
• Own the end-to-end lifecycle of AI products, from business problem framing and prototype development through deployment, operationalization, monitoring, and continuous improvement.
• Partner closely with Product Owners, business stakeholders, Data Engineers, AI Engineers, and platform teams to translate business requirements into scalable AI solutions.
• Drive adoption of AI solutions by effectively communicating complex technical concepts, model outputs, and business insights to technical and non-technical audiences.
• Contribute to the evolution of Commercial AI, data, and platform strategies through technical expertise, innovation, and industry best practices.
• Ensure AI solutions comply with Responsible AI principles, governance requirements, security standards, and enterprise policies.
• Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best practices to improve delivery quality and efficiency.
• Stay current with advancements in AI, Generative AI, and Agentic AI, evaluating emerging technologies and identifying opportunities to create business value.
• Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews, solution reviews, and knowledge sharing.
• Contribute to innovation initiatives, technical publications, patents, and AI communities of practice.
• Support talent acquisition, workforce planning, and capability-building initiatives to strengthen the organization's AI and Data Science capabilities.

Benefits

• 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 professional and personal development will be supported purposefully
• high-quality healthcare, prevention and wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior