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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.
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