Data Scientist

• Location: Barcelona

About the Job

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.

In this role, you will

• 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

Required Qualifications

• 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)

When joining our team, you will experience

• 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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