Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist / Senior Data Scientist - F1 Motorsport

Data Science Talent
10 months ago
Applications closed

Related Jobs

View all jobs

Senior / Lead Data Scientist - AI Agents - Outside IR35

Senior Data Scientist - Computer Vision

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist - Financial Services - Outside IR35

Lead Data Scientist

Data Scientist

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.