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Sanofi

Accelerator Data Science (Paris)

Hybrid

Paris, France

Full Time

10-11-2025

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Skills

Communication Problem Solving Critical Thinking Data Analysis Training Machine Learning Deep Learning Software Development Agile Analytics Data Science Artificial Intelligence OpenAI Langchain Large Language Models Natural Language Processing Mathematics NLP

Job Specifications

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

This job offer is accessible to all, regardless of gender.

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.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

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.



Experience

About you 

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 skil

About the Company

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:... Know more