Data Scientist (Paris)

Reposted Yesterday
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Paris, Île-de-France, FRA
In-Office
Mid level
Healthtech
The Role
The Data Scientist will leverage machine learning and data analytics to develop AI solutions for drug discovery and healthcare efficiency, working collaboratively across teams.
Summary Generated by Built In

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
  • Hybrid: 60% office, 40% remote
  • Permanent: Fulltime
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
Why choose us?

We provide a highly open and collaborative environment, with an opportunity to work with a world class team. You will be able to: 

  • Learn what it takes to make a service with a truly global reach
  • Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
  • Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
  • 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
Pursue ProgressDiscover Extraordinary

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

#LI-FRA

#LI-Hybrid

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

The salary range for this position is :€54,400.00 - €72,533

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.

Skills Required

  • PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills
  • 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 is desired
  • Experience in a healthcare company is a strong plus

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

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: https://bit.ly/sanofi-terms

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