Motorsports Sportscar Data Analyst

JR United Kingdom; Luton; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to develop cutting-edge race strategy tools utilizing data science and modeling techniques. This hybrid role involves refining AI/ML models, creating simulations, and collaborating with top motorsports teams to enhance race strategies. The ideal candidate will possess extensive experience in motorsports, strong programming skills in Python, and a passion for data analysis. Join a forward-thinking environment where your contributions will directly impact race performance and strategy, making every race an opportunity for excellence.

Qualifications

• 5+ years in top-level motorsports series with strategy tool development.
• Proficiency in Python and familiarity with AI/ML modeling techniques.

Responsibilities

• Refine AI/ML models for Sportscar applications and develop simulations.
• Collaborate with teams to enhance race strategy tools and analysis.

Skills

Python

AI/ML modeling techniques

Data analysis

Statistical modeling

Organizational skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a related field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

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Motorsports Sportscar Data Analyst, Luton, Bedfordshire

Client: General Motors

Location: Luton, Bedfordshire, 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 per week, with flexibility for weekend race events.

Role: We are seeking a Motorsports Sportscar Data Analyst to develop race strategy tools using data science and modeling techniques for pre-race planning and live race analysis.

Responsibilities:

1. Refine AI/ML models for Sportscar applications, updating Python code as needed.
2. Develop a platform for Monte Carlo simulations.
3. Create tire degradation models with accurate predictions.
4. Design visualizations to communicate insights, collaborating with IT for implementation.
5. Verify and enhance race strategy tools, working with IMSA and WEC teams.
6. Analyze vehicle pace, track migration, traffic, energy, tire, and fuel effects.
7. Predict pace variations for session planning.
8. Collaborate with GM and motorsports teams to develop and support 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 (NASCAR, IMSA, F1, IndyCar, WEC), with 2+ years developing 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 forward-thinking approach.
• Ability to travel within the US (~10%).

Preferred Qualifications:

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