Motorsports Sportscar Data Analyst

JR United Kingdom; Telford; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Motorsports Sportscar Data Analyst to enhance race strategy through data science and modeling techniques. This hybrid role involves collaborating with motorsports teams and utilizing advanced analytics to optimize race strategies. The ideal candidate will have a strong background in Python and AI/ML, with experience in top-level motorsports. This position offers a unique opportunity to contribute to cutting-edge race strategies while working in a dynamic and inclusive environment. Join a team committed to innovation and excellence in the thrilling world of motorsports!

Benefits

Health insurance

Retirement plans

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in top-level motorsports series with 2+ years developing strategy tools.
• Knowledge of motorsports race strategy tools and analysis during live events.

Responsibilities

• Refine existing AI/ML models for sportscar applications.
• Develop platforms for Monte Carlo simulations and tire degradation models.
• Collaborate with motorsports teams to implement race strategy tools.

Skills

Python

MATLAB

AI/ML modeling techniques

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s degree in Engineering

Master’s degree in a related field

Tools

Monte Carlo simulations

Data science tools

Job description

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Motorsports Sportscar Data Analyst, Telford

Client: General Motors

Location: Telford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

This role is categorized as hybrid, requiring reporting to Concord, NC three times a week and flexibility for weekend events.

Role: We seek a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop race strategy tools, supporting pre-race planning and live race decisions.

Responsibilities:

1. Refine existing AI/ML models for sportscar applications, updating Python code as needed.
2. Develop platforms for Monte Carlo simulations.
3. Create and refine tire degradation models.
4. Design visualizations to convey insights, collaborating with IT to develop production tools.
5. Verify race strategy tools and collaborate with motorsports teams to implement and improve them.
6. Analyze vehicle pace, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations for strategy optimization.
8. Work with GM and motorsports teams to develop and support race strategy tools.
9. Co-develop race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series for process validation and model refinement.

Qualifications:

• Bachelor’s degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series with 2+ years developing or using strategy tools.
• Knowledge of motorsports race strategy tools and analysis during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques.
• Strong organizational and interpersonal skills, with a mentorship mindset.
• Ability to travel 10% within the US; relocation benefits may be available.

Preferred Qualifications:

• Master’s degree in a related field.
• Experience in tire modeling and simulation workflows.
• Knowledge of machine learning libraries and big data tools.

Additional Information:

GM aims for a diverse, inclusive workplace committed to safety, sustainability, and innovation. Benefits include health insurance, retirement plans, recognition programs, tuition assistance, and vehicle discounts. GM is an equal opportunity employer, welcoming applicants regardless of background or protected characteristics. Reasonable accommodations are available for applicants with disabilities.