Accelerator Data Scientist (Paris)
Paris, France Regular Posté le Feb. 18, 2026 Expire le Mar. 03, 2026Data Scientist R&D
Location: Paris
Hybrid
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:
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:
Over 3 years of 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, …)
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, 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
PursueProgress. Discover Extraordinary.
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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
Watch our ALL IN videoand check out our Diversity Equity and Inclusion actions at sanofi.com!
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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.
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