Data Scientist / Senior Data Scientist - F1 Motorsport

Data Science Talent
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist/ Senior Data Scientist P Znamenskiy lab

Senior Data Scientist

Data Scientist, United Kingdom - BCG X

Data Scientist, United Kingdom - BCG X

Data Scientist, United Kingdom - BCG X

Data Scientist, United Kingdom - BCG X

Data Scientist / Senior Data Scientist - F1 Motorsport

Location: South East England


-----


2.62 seconds. The time it takes to service an entire F1 racing car at the pit stop.


2 weeks. How soon you could see the impact of your work translating into visible results for the team on the track.


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.


-----


What’s the role


You’ll join a department united by a singular objective: to enhance the racing car's performance and improve its overall speed. Everyone has a role to play – and an impact on the final result. Here, the whole really is greater than the sum of its parts.


As a 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. If you can support good ideas with logic, you’ll get all the resources you need to bring them to life.


There’s huge scope and variety. 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. It’s a friendly and collaborative environment where you can really broaden your career.


-----


Why join?


DEFINITE DEVELOPMENT:You’ll be part of a world-class organisation with the drive to keep developing. 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.


COLLABORATIVE CULTURE:This is a tight-knit team, where everyone’s collaborating towards a single clear goal – it makes for an energised environment.


IMMEDIATE IMPACT:Your solutions will be rapidly implemented and you’ll see the results – often in real-time, on race days. You can make a marked difference in a thrilling and high-stakes industry.


INVESTMENT IN INNOVATION: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.


-----


What you can add


  • You don’t need F1 or motorsport experience, but you must have extensive hands-on experience solving complex physical and engineering challenges. You’ll have worked directly with real-world applications and possess an academic background in a field like Physics, Computer Science, or Engineering.


  • You’ll thrive on tackling complex problems with an eye for detail, and you’ll bring strong communication skills to articulate intricate concepts and accurately document technical details.


  • In our high-octane environment, you’ll need to be comfortable with fast-paced work and meeting tight deadlines.


  • Beyond that, we’re looking for as many of the following skills and experiences as possible:


- Python programming including its data science and machine learning libraries.


- Any experience working with cloud-based platforms such as Microsoft Azure Services.


- You can translate business requirements into detailed and actionable specifications.


- You are an expert in modern software development practices and are familiar with source control, change management, automated testing, and release procedures.


-----


Find out more


Work in a world-class team. To find out more about this unstoppable organisation and their exciting plans, the role and the rewards then hit the 'Easy Apply" button.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.