Data Scientist

Data Scientist

Sanofi

Barcelona, Spain

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

• PhD or Master’s in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field
• 3+ years of experience in applied AI/ML, with 2+ years hands-on in GenAI or LLM-based applications and familiarity of agentic AI frameworks
• Strong coding skills (Python is a must, Pyspark is a good to have) with experience of using AI libraries (e.g. Transformers, LangChain, RAG pipelines)
• General 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, pinecone
• 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
• 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

• 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)