Job title: Data Scientist

• Location: Paris

About the job

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.
Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.
We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.

Main responsibilities:

• Work with business teams to understand requirements, and translate them into technical needs 
• Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products
• Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
• Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
• Work with developers, engineers, and MLOps to deliver AI/ML solutions

You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

About you 

Experience:

• Experience developing deployable code and deploying models in product-focused development under an agile environment
• Experience in production-ready software development 
• Track record of applying machine learning/deep learning approaches to solve health-related problems
• Experience with content generation using Large Language Models (LLM) is desired
• Experience in a healthcare company is a strong plus

Soft skills:

• Excellent written and verbal communication skills 
• Experience working with multiple teams to drive alignment and results 
• Service-oriented, flexible, positive team player 
• Self-motivated, takes initiative 
• Problem solving & critical thinking

Technical skills:

• Experience with Retrieval-Augmented Generation (RAG)
• Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge
• Fine-tuning models to combine retrieval results with generative outputs
• Knowledge of Agentic Frameworks
• Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools
• Familiarity with frameworks like LangChain, or similar agent-driven architectures
• Prompt Engineering and Few-Shot Learning
• Crafting effective prompts for specific tasks, leveraging few-shot and zero-shot paradigms
• Optimizing prompts for performance, clarity, and reduced token consumption
• Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics)
• Natural Language Processing (NLP) Fundamentals
• Understanding of transformer-based architectures (e.g., GPT, BERT, T5)
• Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms
• Building NLP pipelines for text classification, summarization, and entity recognition
• Familiarity with Knowledge Graphs and Semantic Search
• Building and integrating knowledge graphs for structured information retrieval
• Leveraging semantic search for improved accuracy in large-scale document understanding

Education:

• PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain 

Languages:

• English, French

Why choose us?

• We provide a highly collaborative environment, with an opportunity to work with a world class team
• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
• Bring the miracles of science to life alongside a supportive, future-focused team
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave
• Play an instrumental part in creating best practice within our manufacturing facility