Data Scientist
Role details
Job location
Tech stack
Job description
- 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
Requirements
-
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, * 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
Benefits & conditions
- 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