Location: Barcelona
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 willDesign, 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
- 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
#LI-Hybrid #BarcelonaHub #SanofiHubs
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :€36.000,00 - €54.000,00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
Skills Required
- PhD or Master's in computer science, AI/ML, or related field
- 3+ years of experience in applied AI/ML
- 2+ years hands-on in GenAI or LLM-based applications
- Strong coding skills in Python
- Experience with AI libraries (e.g. Transformers, LangChain)
- Experience working with databases like Snowflake
- Experience in cloud-based environment such as AWS or GCP
- Experience with various enterprise-level APIs
Sanofi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.
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Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
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Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
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Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.
Sanofi Insights
What We Do
We are Sanofi, an innovative global healthcare company. 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 center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms





