Data Scientist

4 weeks ago


Milton Keynes, Milton Keynes, United Kingdom Aston Martin Red Bull Racing Full time

We are seeking a highly skilled Data Scientist to join our Machine Learning and Data Science Team. The successful candidate will contribute to the development of state-of-the-art Machine Learning techniques to improve overall car performance.

Working within the Technology & Analysis Tools department from our Milton Keynes campus, our mission is to develop the technology that enables our engineers to design championship-winning Formula 1 cars. This is a unique opportunity to make a significant contribution to technology that will define how we exploit car performance in the future.

The impact you will have:

  1. Develop Machine Learning and Data Science tools that improve our understanding of vehicle performance and design.
  2. Collaborate with engineers in the Vehicle Performance, Aerodynamics, Vehicle Design, and Power Unit departments to understand how Data Science can enhance existing practices and address challenging problems.
  3. Work alongside a team of highly skilled software and data engineers to put models into production.
  4. Review state-of-art literature and research from the Machine Learning community and implement relevant developments.
  5. Present work with effective communication, writing, and visualisation to a wide range of stakeholders.
  6. Lead others in the department by example with best practices in analysis, programming, and communication.

What we look for:

  1. MSc or PhD in Mathematics, Statistics, or a similar quantitative field.
  2. Experience working with and analysing large multimodal datasets, particularly timeseries data, to solve complex problems.
  3. Experience utilising a wide range of Machine Learning and Data Science techniques, as well as knowledge of the underlying mathematics.
  4. Proficiency in Python (and other programming languages desirable) and knowledge of one or more Machine Learning frameworks/libraries.
  5. Exposure to different elements of Data Science projects, such as ideation, modelling, validation, and deployment.

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