Lead Data Scientist

Sanofi; Toronto; On-site; CAD 176,000 - 245,000; Full time

Benefits offered by this job

Flexible home office policy (up to 40%

Life and accident insurance

Rewards package

Training & certification路径

Job summary

Sanofi is seeking a Lead Data Scientist in Toronto, with a strong track record in AI, GenAI and multi-agent systems. You will own end-to-end AI product lifecycles, partner with data engineers and product teams, and guide architecture and evaluation of AI solutions.

The role requires 4+ years in data science and hands-on GenAI experience, with collaboration across Commercial Data Science and global digital initiatives. Flexible hybrid work supports up to 40% home office.

Qualifications

• Master or PhD in CS/DS/AI/Math/Physics/Computational Linguistics or related field.
• 4+ years in Data Science/AI/Advanced Analytics with business impact.
• 1+ years in GenAI/LLM-based apps and familiarity with Agentic AI frameworks.
• Strong programming in Python/Java and knowledge of Spark, REST APIs.

Responsibilities

• Lead design, development, deployment, and scaling of enterprise AI and GenAI solutions.
• Own end-to-end lifecycle of AI products from framing to deployment and monitoring.
• Collaborate with Product Owners, Data Engineers, AI Engineers and platform teams to translate requirements into scalable AI solutions.
• Drive adoption and communicate complex AI concepts to diverse audiences.

Skills

Python

Java

SQL/NoSQL

Spark

REST APIs

LangChain

Transformers

NLP tools

Cloud (AWS/GCP/Azure)

Agile/Scrum

Education

Master or PhD in CS/DS/AI/Math/Physics/Computational Linguistics

Tools

Golang

NodeJS

Angular/Typescript

Job description

Reference Number: R2868512 Position title: Lead Data Scientist Department: Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week)

About the job

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.

About the Sanofi Digital

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life‑saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the centre of our ambitions. 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.

Main 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, some examples of use cases are Enhancing the patient journey through intelligent and personalized support
• 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
• Agentic AI powered Market research and competitive intelligence platform
• 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

About you Required Qualifications

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, with 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 be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence Functional Skills: 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 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)

When joining our team

• 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 professional and personal development will be supported purposefully

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 is now open for applications.

AI Usage

Artificial Intelligence refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services or support decision‑making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

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.

#GD-SP #LI-SP #LI-Hybrid #DBBCA

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: 127,000.00 - 177,000.00 (Includes target bonus) Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK. La fourchette salariale pour ce poste est la suivante: 127,000.00 - 177,000.00 (Comprend le bonus cible) La rémunération finale sera déterminée en fonction de l’expérience démontrée, des compétences, du lieu de travail et d’autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d’avantages sociaux de l’entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi Start a career that makes a difference. Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug‑discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.

We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.