Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to leverage data science for developing race strategy tools. This exciting role involves refining AI/ML models, analyzing performance, and collaborating with teams to enhance decision-making during live racing events. The ideal candidate will have a strong background in motorsports and programming, particularly in Python or MATLAB. With opportunities for relocation and travel, this position offers a chance to be at the forefront of motorsports analytics within a dynamic and inclusive environment, contributing to a vision of Zero Crashes, Zero Emissions, and Zero Congestion.

Benefits

Paid time off

Healthcare

401K

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in motorsports with 2+ years in strategy tools development.
• Deep knowledge of race strategy tools and live event analysis.

Responsibilities

• Refine AI/ML models and update Python code for racing.
• Develop platforms for Monte Carlo simulations and tire degradation models.

Skills

Python

AI/ML modeling techniques

Data analysis

Statistical analysis

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Colchester

Client: General Motors

Location: Colchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Details

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description

This role is categorized as hybrid. The successful candidate is expected to report to Concord, NC three times per week, with flexibility for weekend race events.

Role Overview: We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning and real-time decision making during live race events.

Responsibilities:

1. Refine existing AI/ML models for sports car racing, updating Python code as needed.
2. Develop a platform for running and analyzing Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design visualizations to effectively communicate insights, collaborating with IT and software teams.
5. Use race strategy tools to verify accuracy, analyze performance, and identify improvements, working with IMSA and WEC teams.
6. Resolve vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict pace variations to optimize session planning and strategy.
8. Collaborate across GM and motorsports teams to develop and support race strategy tools.
9. Co-develop production race strategy software with data science and IT teams.
10. Apply analysis techniques to other 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 (NASCAR, IMSA, F1, IndyCar, WEC, etc.) with 2+ years developing or using strategy tools.
• Deep 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 skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills and experience in team collaboration and navigating organizational politics.

This position may offer relocation benefits and requires 10% travel within the US.

Preferred Qualifications:

• Master’s degree in a quantitative field.
• Experience in tire modeling, simulation workflows, and vehicle performance optimization.
• Knowledge of machine learning libraries and big data tools (Hadoop, Spark, SQL, NoSQL).

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We promote inclusion, flexibility, and a culture of belonging.

Benefits:

• Paid time off, healthcare, 401K, recognition programs, tuition assistance, vehicle discounts, and more.

Diversity & Equal Opportunity

GM is committed to diversity, inclusion, and equal employment opportunity. We encourage all qualified candidates to apply. For accommodations, contact us via email or phone.