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For Companies At a Glance
- Tasks: Develop software tools for data analysis and visualisation in motorsport engineering.
- Company: Join McLaren, a pioneering racing team at the forefront of automotive innovation.
- Benefits: Enjoy hybrid working, private healthcare, and a vibrant campus with great facilities.
- Why this job: Make a real impact on car performance and shape racing history with your code.
- Qualifications: Strong background in engineering, proficiency in Python/C#, and excellent communication skills.
- Other info: Dynamic environment with opportunities for continuous improvement and career growth.
The predicted salary is between 36000 - 60000 £ per year.
At McLaren, our drive for high performance shapes every aspect of our work. If you’re passionate about building software that pushes the boundaries of automotive innovation, and want your code to have a real impact on car development, we invite you to join us. Here, milliseconds matter, and your tools can help shape racing history.
Purpose of the Role
You will be key in developing software solutions that support the planning, analysis, and visualization of experimental data from CFD, wind tunnel, and track tests. Your tools will empower engineers to generate insights and accelerate the development of car performance. You’ll play an active role in continuous improvement and major upgrade projects, helping us maintain technical leadership in data-driven motorsport engineering.
Principal Accountabilities
- Design and build software tools to streamline the planning and execution of experiments.
- Contribute to the development of new experimental methodologies through robust tooling.
- Maintain and advance technologies for experimental data analysis and visualisation.
- Engage directly with engineers to understand their requirements, improving workflows and delivering practical solutions.
Knowledge, Skills, and Experience
Essential
- Strong academic background ideally at postgraduate level, or equivalent experience in Mechanical Engineering, Aeronautical Engineering, or a related field.
- Proactive and self‑motivated, able to work both autonomously and in a collaborative team setting.
- Proven track record of managing multiple projects and meeting challenging deadlines.
- Excellent communication skills for translating technical information to diverse audiences.
- Proficiency in Python and/or C#.
Desirable
- Experience with Wind Tunnel and/or CFD experimental environments.
- Background in aerodynamic analysis, academically or in industry.
- Experience with databases such as SQL or MongoDB.
- Familiarity with Docker, Kubernetes, and other DevOps tools.
We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part.
We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.
McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break‑out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride.
We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Junior Data Analysis and Visualisation Engineer in Woking employer: Arrow McLaren IndyCar
Contact Detail:
Arrow McLaren IndyCar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analysis and Visualisation Engineer in Woking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at McLaren. Attend events, join online forums, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any data analysis or visualisation work. This is your chance to demonstrate how you can contribute to McLaren’s innovative spirit and high-performance goals.
✨Tip Number 3
Prepare for the interview by understanding McLaren’s culture and values. Be ready to discuss how your background in Mechanical or Aeronautical Engineering aligns with their mission. Tailor your responses to show you’re not just a fit for the role, but for the team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the McLaren family. Let’s get you on that racing track!
We think you need these skills to ace Junior Data Analysis and Visualisation Engineer in Woking
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for automotive innovation shine through. We want to see how your passion aligns with our drive for high performance and how you can contribute to shaping racing history.
Tailor Your CV: Make sure your CV highlights relevant experience in Mechanical or Aeronautical Engineering. We love seeing how your skills in Python or C# can help us develop software tools that streamline experiments and enhance car performance.
Be Clear and Concise: Your written application should be easy to read and straight to the point. Use clear language to explain your technical skills and experiences, especially when discussing complex topics like data analysis and visualisation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at McLaren!
How to prepare for a job interview at Arrow McLaren IndyCar
✨Know Your Tech
Make sure you brush up on your Python and C# skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in data analysis or visualisation. This will show that you can hit the ground running!
✨Understand the Role
Familiarise yourself with McLaren's work in automotive innovation and how data analysis plays a role in it. Think about how your skills can contribute to their goals, especially in streamlining experiments and improving workflows.
✨Show Your Passion
McLaren is all about high performance and innovation. Share your enthusiasm for motorsport and how it drives you to excel in data analysis. A genuine passion can set you apart from other candidates.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This could be about their current projects, team dynamics, or how they envision the future of data analysis in racing. It shows you're engaged and interested in being part of their journey.
