Data Scientist

McLaren Advanced Projects

McLaren Advanced Projects (MAP) is a multidisciplinary engineering unit that works on many of the most ambitious technical challenges at McLaren Racing. The newly created function is designed to innovate and unlock performance across various racing series operating worldwide.

 

But racing is just the start. McLaren Advanced Projects also collaborates with McLaren Automotive on hypercars and supercars, and undertakes projects on a wide range of scientific and engineering projects for our partners.

 

Within McLaren Advanced Projects, we assemble integrated teams to work across the full development process from concept to release, drawing on 60 years of continuous development in F1 and beyond. Team members bring a wide range of skills to bear on our projects, from aerodynamics and computational fluid dynamics to lightweight structures and composites, data science and advanced simulations.

 

Purpose of the Role

The main purpose of this role is to apply Data Science methods and techniques to enhance our software and simulation tools for analysis, data processing and ultimately performance development.

We are looking for Data Scientists at all levels, if you have relevant experience in this field then please apply.

 

Accountabilities and Responsibilities

  • Take and understand project requirements to define specifications and to architect robust, scalable and testable software and data science solutions
  • Confidently analyse and overcome technical challenges with workable and innovative solutions
  • Understand the processes and goals underlying the various technical areas you work alongside
  • Business analysis of aerodynamic development processes including understanding the goals, the current problems, and then sharing your learning with the team
  • Development of analytical solutions to complex engineering problems using leading edge data science, modelling, and optimisation techniques
  • Maintain consistent standards and approaches adopted by the team
  • Accurately estimate activity timescales and provide regular progress reports
  • Efficiently manage your workload
  • Raise awareness of and mitigate against potential technical risks
Organization: 
McLaren Racing