Accelerator Data Scientist (Paris)

Paris

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 : Accelerator 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 Commercial 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:

  • Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case 
  • Apply statistical methods and machine learning techniques to extract insights from datasets
  • Design, implement and fine-tune AI/ML models using various algorithms and tools
  • Presenting findings through clear and informative charts, graphs, and dashboards
  • Support senior team members in understanding business teams requirements, and translate them into technical needs
  • Staying updated with the latest trends, tools, and techniques in the field of data science

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 of handling data science projects in varied business contexts, with experience in healthcare being a strong plus
  • Experience in developing deployable models and AI solutions
  • Demonstrated ability to perform exploratory data analysis and create visualizations 
  • Experience in production-ready software development

Soft skills :

  • Strong curiosity and eagerness to learn new concepts and technologies 
  • Good communication skills, both written and verbal 
  • Problem-solving ability and analytical thinking 
  • Attention to detail in data handling and analysis 
  • Ability to contribute to a diverse and inclusive team environment 
  • Willingness to ask questions and seek guidance when needed 
  • Presentation skills for sharing data insights with team members 

Technical skills :

  • Strong knowledge within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, time series forecasting, Bayesian statistics, optimization
  • Proficient in Python programming and familiarity with big data concepts and tools
  • Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
  • Ability to use standard visualization tools to create reports and dashboards (such as Tableau, PowerBI, etc.)
  • Awareness of responsible AI principles and AI regulations
  • Knowledge of software development practices and version control (e.g., Git)

Education :

  • Preferred qualifications: Master’s Degree or PhD in mathematics, computer science, engineering, physics, statistics, or a related quantitative discipline with strong coding skills

Languages

  • English

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

Pursue Progress . Discover 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

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Publié le 2026-03-18

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