Senior Data Scientist

4 weeks ago

United Kingdom Data Science Talent Full time

Senior Data Scientist - F1 Motorsports Location: The time it takes to service an entire F1 racing car at the pit stop.
The data you and your team help to deliver could make or break lap time for one of the world's leading Formula 1 teams.
A lap time that over 500 million people will see at the most-watched annual sporting series in the world.


You’ll join a department united by a singular objective: to enhance the racing car's performance and improve its overall speed. As a Senior Data Scientist, you’ll be actively transforming how the team utilises data to achieve peak performance. You’ll have the freedom and flexibility to explore new ways of getting the best out of data structures and numerical analysis. You’ll potentially be looking every aspect of data: how it’s stored, transported and accessed; what are the most effective software and hardware options…You’ll delve into diverse areas including computational fluid dynamics, track data, tyre thermal modelling, and suspension performance.
You’ll be working under the guidance of the Data Science Team Leader and collaborating with a brilliant group of people, each with fresh perspectives to bring to the table. Part of a wave of new hires on the tech side of the business, it’s an ideal time to join and start growing your skills.
IMMEDIATE IMPACT: The business is investing in what’s already a highly skilled team to fuel continuous performance improvements. The experience and insights you gain here will help you accelerate your career.
You don’t need F1 or motorsport experience but it would be ideal if you have transferable skills from a field like automotive, aerospace or aviation. Or, perhaps you have relevant academic knowledge from Mechanical Engineering, Aerospace Engineering or Physics.

Proficiency in Python – you’re familiar with its data science and machine learning libraries.
Ideally, experience with cloud-based platforms, particularly Microsoft Azure services
You’re abreast of modern software development practices including source control, change management, automated testing, and release procedures.

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