Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Apply mathematical methods to solve complex modelling and data-analysis challenges in F1.
- Company: Join the innovative Alpine F1 Team and accelerate your career.
- Benefits: Competitive pay, private healthcare, gym access, and a subsidised restaurant.
- Other info: Dynamic, inclusive environment with great career development opportunities.
- Why this job: Make a real impact on race car performance and be part of a winning team.
- Qualifications: Degree in Engineering or STEM, coding skills in Python or MATLAB preferred.
The predicted salary is between 28000 - 38000 ÂŁ per year.
Are you ready to accelerate your career with a dynamic and innovative F1 team? We are looking to expand our well‑established team with a Junior Mathematical Modeller who is motivated to significantly contribute to our relentless pursuit of excellence. This position will play a crucial role in helping us push for podiums and race wins.
You will play a key role in applying computational and mathematical methods to solve a wide range of complex and engaging modelling and data‑analysis challenges across the company. Previous projects have included:
- Providing real‑time, data‑driven support to Race Team engineers and drivers to optimise car setup and tyre usage for maximum performance
- Determining optimal pit stop laps to enhance race strategy
- Modelling aerodynamic forces in a five‑dimensional space using noisy data
- Automating the analysis of competitor GPS data to estimate engine power and other performance metrics
To tackle them, we employ a variety of advanced techniques, such as:
- Bayesian Optimisation
- Gaussian Processes
- Monte Carlo Simulations
- Reinforcement Learning
We are looking to enhance our talented team with an individual who is educated to degree level or equivalent within Engineering or a STEM subject. You should have a confident background in coding; experience with Python or MATLAB would be an advantage. We need someone who is self‑motivated, analytical, and a pragmatic decision‑maker capable of working with minimal supervision. We seek someone with a creative, innovative, and consistent approach to problem‑solving.
Working for the Alpine F1 Team, you will work with top professionals and directly impact race car performance on a global stage. We offer competitive remuneration packages, private medical healthcare, access to a free on‑site gym, a subsidised restaurant, and many additional benefits. The thrill of pioneering innovation in Formula One racing provides numerous career development opportunities in a collaborative, inclusive environment.
At Alpine F1 Team, we celebrate diversity and strive to create an inclusive environment where everyone can be their true selves. We welcome individuals from all backgrounds, ethnicities, cultures, and experiences, and are committed to promoting diversity, inclusion, and belonging in our society.
Junior Mathematical Modeller employer: Motorsport Network
Contact Detail:
Motorsport Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Mathematical Modeller
✨Tip Number 1
Network like a pro! Reach out to people in the F1 industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or MATLAB. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to mathematical modelling and coding, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our innovative team at Alpine F1.
We think you need these skills to ace Junior Mathematical Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Mathematical Modeller role. Highlight your relevant skills in coding, data analysis, and any experience with techniques like Bayesian Optimisation or Monte Carlo Simulations. We want to see how you can contribute to our pursuit of excellence!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for F1 and how your background in STEM makes you a perfect fit for our team. Don’t forget to mention specific projects or experiences that relate to the challenges we face.
Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex problems in the past. We love creative and innovative thinkers, so share any unique approaches you've taken in your previous work or studies!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our team there!
How to prepare for a job interview at Motorsport Network
✨Know Your Maths and Coding
Brush up on your mathematical modelling skills and coding knowledge, especially in Python or MATLAB. Be ready to discuss how you've applied these skills in past projects, as this will show your practical experience and understanding of the role.
✨Understand the F1 Context
Familiarise yourself with the current trends and challenges in Formula One racing. Knowing about recent races, team strategies, and technical innovations can help you engage in meaningful conversations during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using analytical methods. Highlight your creative approach and how you’ve used techniques like Bayesian Optimisation or Monte Carlo Simulations in your work.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the team and the role. Inquire about the team's current projects or how they integrate new technologies into their modelling processes. This shows you're not just interested in the job, but also in contributing to the team's success.