Motorsports Sportscar Data Analyst

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

Job summary

Join a forward-thinking company as a Motorsports Sportscar Data Analyst, where you'll leverage data science to enhance race strategies. This role involves developing AI/ML models, collaborating with cross-functional teams, and utilizing advanced analytical techniques to inform real-time decision-making during live events. You'll be at the forefront of motorsports innovation, working closely with industry leaders to refine strategy tools and contribute to a culture of inclusion and excellence. If you’re passionate about motorsports and data science, this is the perfect opportunity to make a significant impact.

Benefits

Paid time off

Comprehensive health coverage

401K matching

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in top-level motorsports series with strategy tools experience.
• Deep knowledge of motorsports race strategies and analysis modeling.

Responsibilities

• Develop AI/ML models for sportscar race strategies and improve Python code.
• Collaborate with teams to create visualizations and verify model accuracy.

Skills

Python

AI/ML modeling techniques

Data analysis

Statistical modeling

Interpersonal skills

Education

Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, or Data Science

Master’s Degree in a quantitative or related field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Exeter

Client: General Motors

Location: Exeter, 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 real-time decision-making during live race events.

Responsibilities

1. Develop and refine AI/ML models for sportscar race strategies, including improving existing Python code and reimagining models as needed.
2. Create platforms for Monte Carlo simulations and develop tire degradation models for accurate predictions.
3. Design and prototype visualizations to effectively communicate insights, collaborating with IT and software teams for implementation.
4. Use race strategy tools to verify model accuracy, understand performance, and identify areas for improvement, working closely with IMSA and WEC teams.
5. Analyze vehicle pace considering track migration, traffic, energy strategies, and tire and fuel effects.
6. Predict pace variations to inform session planning and strategy development.
7. Collaborate with cross-functional teams within GM and its motorsports divisions to develop and support race strategy tools.
8. Co-develop production race strategy software with data science and IT teams.
9. Apply analysis techniques across different racing series to validate and refine models.

Required Qualifications

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years experience in top-level motorsports series (e.g., NASCAR, IMSA, F1, IndyCar, WEC) with at least 2 years developing or using strategy tools.
• Deep knowledge of motorsports race strategies and experience in analysis and modeling during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques and industry applications.
• Strong organizational skills, attention to detail, and a forward-thinking approach.
• Excellent interpersonal skills, with experience in relationship-building across teams and organizations, and a patient, mentoring attitude.

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

Preferred Qualifications

• Master’s degree in a quantitative or related field.
• Experience in tire modeling, construction, testing, and validation.
• Knowledge of simulation workflows in professional motorsports and experience using simulation tools for vehicle performance optimization.
• Experience with machine learning libraries and big data tools (e.g., Hadoop, Spark, SQL, NoSQL).

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We are committed to leading change to make the world better, safer, and more equitable.

Why Join Us

We strive to be the most inclusive company, fostering a culture where everyone belongs. Our flexible work policies support our commitment to inclusion and impact.

Benefits Overview

Our total rewards program includes paid time off, comprehensive health coverage, 401K matching, recognition programs, tuition assistance, and vehicle discounts.

Diversity Commitment

GM is dedicated to an inclusive workplace that respects diversity and provides equal opportunity employment. We welcome applicants from all backgrounds and abilities. For accommodations, contact [email protected] or call 800-865-7580.