Location: Oxford

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Opportunity for a driven and experienced Data Scientist to join a newly formed team at one of Oxford University’s most exciting spin out companies. The role is part of rapid expansion and enhancement of capabilities to help solve some extremely complex physics and engineering problems, utilising cutting edge AI and machine learning tools.

You will have a broad knowledge of Machine Learning techniques and experience with data modelling, ideally with experience working with engineering or scientific (physics) data, particularly working with data from simulations which would be highly advantageous for this role. This is a varied role in a newly established team and work will range from high level Machine Learning and AI work to some more operational data processing and support so the ideal candidate will be a flexible and a self-starter who can work autonomously in a collaborative environment.

Key responsibilities include:

  • Enhancing numerical modelling approach and managing uncertainty in simulation models using machine learning techniques
  • Working closely with other Scientists to interpret complex experimental diagnostics
  • Continually improving the quality and capability of data science tools and approaches, making key contributions to the overall success and growth of the team and wider business

Key selection criteria:

  • Excellent familiarity and experience with application of several of the following areas: Uncertainty Quantification, Optimisation, Inference, Emulation / Regression, neural Networks and Transfer Learning
  • Ideally from an engineering or physics background, with experience of dealing with simulation data a distinct advantage

Keywords: Data Science, Machine Learning, Artificial Intelligence, AI, ML

Bond Williams Professional Recruitment are an equal opportunity employer and operate as an Employment Business and Recruitment Agency

*** Mention DataYoshi when applying ***

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