Motorsports Sportscar Data Analyst

JR United Kingdom; Preston; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player in motorsports is seeking a dynamic Data Analyst to enhance race strategies using advanced data science techniques. This role involves refining AI/ML models, developing simulation platforms, and collaborating with teams to create effective race strategy tools. You will play a crucial role in ensuring accurate predictions and insightful analysis during live events, making a significant impact on race outcomes. If you have a passion for motorsports and a strong analytical background, this opportunity is perfect for you.

Qualifications

• 5+ years in top-level motorsports series like NASCAR or F1.
• Experience developing strategy tools for live races.

Responsibilities

• Refine AI/ML models and update Python codebases.
• Develop platforms for analyzing Monte Carlo simulations.

Skills

Python

AI/ML modeling techniques

MATLAB

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

Motorsports Sportscar Data Analyst, Preston, Lancashire

Client: General Motors

Location: Preston, Lancashire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description

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 enabling split-second identification of pivotal strategy inflection points during live race events.

Responsibilities

1. Refine existing AI/ML models for application in Sportscars, updating Python codebases as needed.
2. Develop platforms for running and analyzing Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design effective visualizations to convey insights, collaborating with IT and software teams for implementation.
5. Utilize race strategy tools and models to verify accuracy and identify areas for improvement, working with IMSA and WEC teams.
6. Resolve vehicle pace from track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations to inform strategy.
8. Collaborate across GM teams to develop and support race strategy tools and provide analytics guidance.
9. Co-develop production race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series for process validation and model refinement.

Qualifications

Required:

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series (e.g., NASCAR, IMSA, F1, IndyCar, WEC).
• Experience developing or using strategy tools during live races.
• Proficiency in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML modeling techniques.
• Strong organizational skills and attention to detail.
• Excellent interpersonal skills and ability to navigate team dynamics.
• Ability to travel within the US approximately 10% of the time.

Preferred:

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