At a Glance
- Tasks: Design and deploy AI/ML solutions for real-time racing analytics.
- Company: Join the innovative team at Formula One Management Limited.
- Benefits: Enjoy private healthcare, 25 days annual leave, and professional development opportunities.
- Other info: Dynamic work environment with exciting career growth potential.
- Why this job: Be part of a thrilling industry and make a real impact with cutting-edge technology.
- Qualifications: 5-10 years in data science with skills in Python, SQL, and machine learning.
The predicted salary is between 60000 - 84000 £ per year.
Formula One Management Limited is seeking an AI, ML, Data Science Engineer to join its Innovation & Technology team in Biggin Hill. This role involves designing and deploying intelligent data systems and AI/ML solutions, collaborating with various stakeholders to deliver impactful technical solutions.
The ideal candidate will have 5-10 years of experience in data science and proficiency in Python, SQL, and machine learning frameworks.
Benefits include private healthcare, 25 days of annual leave, and opportunities for professional development.
AI/ML Data Science Engineer — Real-Time Racing Analytics employer: Formula One Management Limited
Formula One Management Limited is an exceptional employer, offering a dynamic work environment in Biggin Hill where innovation thrives. With a strong focus on employee growth, the company provides extensive professional development opportunities alongside competitive benefits such as private healthcare and generous annual leave. Joining our Innovation & Technology team means being part of a collaborative culture that values creativity and impactful contributions to the world of motorsport.
Contact Details:
Formula One Management Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Data Science Engineer — Real-Time Racing Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those connected to Formula One. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your expertise in Python and machine learning frameworks.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and data science concepts. Practise coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI/ML Data Science Engineer — Real-Time Racing Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI, ML, and data science. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Python, SQL, and any machine learning frameworks you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time racing analytics and how your background makes you a perfect fit for our Innovation & Technology team. Let us know what excites you about this opportunity!
Showcase Your Projects:If you’ve worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially those that demonstrate your ability to design and deploy intelligent data systems.
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 the role. Plus, it gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Formula One Management Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and the machine learning frameworks mentioned in the job description. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where your AI/ML solutions made a significant impact, especially in real-time analytics or similar fields.
✨Understand the Racing Industry
Familiarise yourself with Formula One and its data needs. Knowing how data science plays a role in racing can set you apart. Be ready to share insights on how you could contribute to their innovation goals.
✨Engage with Stakeholders
Since collaboration is key in this role, think about how you’ve worked with different teams before. Prepare to discuss your communication style and how you ensure everyone is on the same page when delivering technical solutions.
