Data Scientist
Paris, France Regular Posté le Jul. 03, 2026 Expire le Aug. 03, 2026 Salary Range EUR 64,000.00 - 85,333.33Le 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
Work arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)
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.
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
What we offer you:
A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.
Because taking care of our employees is also our mission:
Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here.
Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week
Transportation: Public transport coverage up to 80%
Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO
Professional Development: Internal and international mobility opportunities, learning & development opportunities
And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...
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
#LI-FRA
Toujours Progresser. Découvrir l’Extraordinaire.
Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.
Chez Sanofi, nous croyons dans l’égalité des chances, sans distinction de race, de couleur, d’ascendance, de religion, de sexe, d’origine, d’orientation sexuelle, d’âge, de citoyenneté, d’état civil, de handicap, d’identité de genre ou de tout autre critère protégé par la loi.
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, et autres facteurs objectifs. Les employés seront également éligibles aux programmes d'avantages sociaux de l'entreprise.
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