Data Scientist

We are seeking a highly skilled 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., * Design, develop and deploy the 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 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

• Master's degree (or equivalent experience) in Computer Science, AI/ML, Mathematics, Physics, Computational Linguistics, or a related field
• 1-3 years of experience in applied AI/ML, with initial exposure to Generative AI or LLM-based applications
• Proficiency in Python; familiarity with PySpark is a plus
• Basic experience with AI/ML libraries and frameworks (e.g., Transformers, LangChain, or similar tools)
• General understanding of NLP concepts, including regex and basic text processing techniques
• Experience working with structured and/or unstructured data; familiarity with databases such as Snowflake or vector databases (e.g., Pinecone) is a plus
• Understanding of prompt engineering and interest in agentic workflows or AI orchestration concepts
• Ability to write clean, modular code (functions, classes) and contribute to AI-driven projects in a collaborative environment
• Exposure to deploying models or applications in a production or pre-production environment is a plus
• Basic understanding of the AI/ML lifecycle (data preparation, modeling, evaluation, deployment)
• Familiarity with cloud environments (AWS, GCP, or Azure) is a plus
• Experience working with APIs is desirable
• Awareness of ethical and regulatory considerations in AI is a plus
• Comfortable working in an Agile environment; familiarity with tools such as Jira or Confluence is a plus

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)

• 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

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