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Data Scientist

LYON, 69
il y a 2 jours

Delighted to be partnering with an innovative European-wide AI company that’s tackling one of the most complex challenges in modern science to make a crucial Data Science hire based within commutable distance of Lyon, France.

Their technology is already being used to support global health initiatives while simultaneously creating commercially valuable intellectual property with significant long‑term potential.

This is a fantastic opportunity to apply cutting‑edge machine learning techniques to real‑world scientific problems and see your work directly influence both research outcomes and commercial success.

Deep expertise in Machine Learning, AI (LLM fine‑tuning), and an awareness of cheminformatics are all key here.

In this role you will:

  • Develop and enhance machine learning models and algorithms that sit at the heart of a cutting‑edge AI platform, helping solve complex scientific and chemistry‑related challenges.
  • Build, optimise, and maintain large‑scale data pipelines, transforming millions of proprietary scientific records into high‑quality datasets that power model development.
  • Continuously improve model performance by incorporating new research findings, experimental results, and validation data into the platform's learning processes.
  • Collaborate closely with data scientists, software engineers, and subject matter experts to translate complex scientific problems into scalable, practical AI solutions.
  • Contribute to the ongoing evolution of a market‑leading technology platform, identifying opportunities for innovation, optimisation, and the application of new machine learning techniques.

About You

  • Strong academic background in Data Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, or a related discipline to MSc or PHD level.
  • Commercial experience applying machine learning techniques to solve real‑world problems.
  • Strong understanding of statistical modelling, machine learning algorithms, and data‑driven decision making.
  • Excellent Python programming skills and familiarity with modern machine learning frameworks.
  • Experience working with large datasets and building robust data pipelines.
  • Knowledge of taking models from research and prototyping through to production environments.
  • Strong communication skills with the ability to collaborate across both technical and non‑technical teams.
  • Naturally curious, analytical, and motivated by solving complex challenges.
  • Exposure to chemistry, cheminformatics, retrosynthesis, or scientific data envir onmentsExperience with MLOps practices and cloud platforms.
  • Knowledge of modern AI tooling, including large language models.
  • Familiarity with optimisation techniques and applied mathematics.

What Is In It

  • Competitive salary depending on experience.
  • Flexible hybrid and remote working options.
  • 25 days' annual leave plus additional leave entitlement in line with local regulations.
  • Generous employee referral programme.
  • Flexible working hours with a strong focus on work‑life balance.
  • The opportunity to work on projects with meaningful global impact.
  • International collaboration across teams in France, Germany, and the UK.
  • The chance to shape the future of AI‑driven scientific discovery.

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

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Entreprise
Bright Purple
Plateforme de publication
WHATJOBS
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