Motorsports Sportscar Data Analyst

JR United Kingdom; Stoke-on-Trent; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative company in the motorsports industry is seeking a skilled Data Analyst to develop cutting-edge race strategy tools. In this hybrid role, you will apply data science and modeling techniques to enhance pre-race planning and live decision-making. Your expertise in Python, MATLAB, and AI/ML will be pivotal in refining existing models and creating impactful visualizations. With a focus on collaboration across teams, this position offers a unique opportunity to contribute to the future of racing strategies while enjoying a range of benefits including health coverage and retirement plans. If you're passionate about motorsports and data analysis, this role is perfect for you.

Benefits

Health coverage

Retirement plans

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in motorsports with strategy tool development experience.
• Proficiency in programming languages like Python or MATLAB.

Responsibilities

• Develop race strategy tools using data science and modeling techniques.
• Collaborate with teams to enhance race strategy tools and models.

Skills

Python

MATLAB

Data Science

AI/ML techniques

Statistical Analysis

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

Monte Carlo simulations

Big Data tools

Job description

Motorsports Sportscar Data Analyst, Stoke-on-Trent

Client: General Motors

Location: Stoke-on-Trent, 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 successful candidate to report to Concord, NC three times per week, with flexibility for weekend race events.

Responsibilities

1. Apply data science and modeling techniques to develop race strategy tools for pre-race planning and live decision-making.
2. Refine existing AI/ML models and develop simulations, including Monte Carlo and tire degradation models.
3. Create visualizations to convey insights, collaborating with IT and software teams for implementation.
4. Verify and improve race strategy tools, working with IMSA and WEC teams to derive insights.
5. Address vehicle pace, track migration, traffic, and energy strategies to inform race decisions.
6. Collaborate across GM teams to develop and support race strategy tools and models.
7. Contribute to software development and transfer learning across different racing series.

Qualifications

1. Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
2. 5+ years in top-level motorsports series, with 2+ years developing or using strategy tools.
3. Knowledge of motorsports race strategy, models, and analysis during live events.
4. Proficiency in Python, MATLAB, or similar programming languages.
5. Familiarity with AI/ML techniques and industry applications.
6. Strong organizational and interpersonal skills, with mentoring experience.
7. Ability to travel within the US (~10%).

Preferred Qualifications

1. Master’s degree in a quantitative field.
2. Experience in tire modeling, simulation workflows, machine learning libraries, and big data tools.

Company Overview & Benefits

General Motors aims for Zero Crashes, Zero Emissions, and Zero Congestion, fostering an inclusive culture with benefits including health coverage, retirement plans, recognition programs, tuition assistance, and vehicle discounts.

Equal Opportunity Statement

GM is committed to diversity and inclusion, providing a discrimination-free workplace and reasonable accommodations for applicants.