Motorsports Sportscar Data Analyst

JR United Kingdom; Bedford; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An innovative firm in the motorsports industry is searching for a skilled Motorsports Sportscar Data Analyst to enhance race strategies through data science. This exciting role involves refining AI models, developing simulation platforms, and collaborating with diverse teams to provide real-time insights during races. The position offers a unique opportunity to work at the intersection of technology and motorsports, contributing to groundbreaking strategies that drive performance on the track. If you're passionate about data and racing, this role promises a thrilling and impactful career path.

Benefits

Health coverage

Retirement plans

Tuition assistance

Vehicle discounts

Relocation benefits

Qualifications

• 5+ years in top-level motorsports series with 2+ years developing strategy tools.
• Proficiency in Python and understanding of AI/ML modeling techniques.

Responsibilities

• Refine AI/ML models and develop a platform for Monte Carlo simulations.
• Collaborate across teams to develop race strategy tools.

Skills

Python

AI/ML modeling techniques

Data analysis

Organizational skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

MATLAB

Monte Carlo simulations

Machine learning libraries

Job description

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Motorsports Sportscar Data Analyst, Bedford

Client: General Motors

Location: Bedford, 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 the candidate to report to Concord, NC three times per week and support some live race events during weekends, necessitating a flexible schedule.

Role Overview: We seek a Motorsports Sportscar Data Analyst to utilize data science and modeling techniques for developing race strategy tools, aiding pre-race planning, and providing real-time insights during races.

Key Responsibilities:

1. Refine existing AI/ML models for Sportscars, updating Python code as needed.
2. Develop a platform for Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design visualizations to communicate insights effectively, collaborating with IT and software teams.
5. Verify and improve race strategy tools and models, working with IMSA and WEC teams.
6. Analyze vehicle pace, track conditions, and race variables to inform strategies.
7. Collaborate across GM and motorsports teams to develop and support race strategy tools.
8. Co-develop race strategy software with data science and IT teams.
9. Apply analysis techniques across different racing series to validate and refine models.

Qualifications:

Required:

• 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 for live decisions.
• Proficiency in Python, MATLAB, or similar programming languages.
• Understanding of AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and ability to work with diverse teams.

Preferred:

• Master’s degree in a quantitative field.
• Experience in tire modeling and simulation workflows.
• Familiarity with machine learning libraries and big data tools.

Additional Information:

Relocation benefits may be available. Travel within the US up to 10% required.

About GM & Benefits:

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We promote inclusivity, flexibility, and comprehensive benefits including health coverage, retirement plans, recognition programs, tuition assistance, and vehicle discounts.

Equal Opportunity:

GM is committed to diversity and inclusion, providing equal employment opportunities and accommodations for applicants with disabilities.