Motorsports Sportscar Data Analyst

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

Job summary

Join a forward-thinking company as a Motorsports Sportscar Data Analyst, where you'll leverage your data science expertise to enhance race strategies. This innovative role involves refining AI/ML models, developing predictive simulations, and collaborating with top-tier motorsport teams. You'll play a crucial part in optimizing race performance through data analysis and visualization, making a significant impact in the fast-paced world of motorsports. If you're passionate about data-driven decision-making and thrive in a dynamic environment, this is the opportunity for you!

Benefits

Paid time off

Healthcare

Retirement contributions

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in top-level motorsports series with 2+ years developing strategy tools.
• Knowledge of motorsports race strategy tools and analysis during live races.

Responsibilities

• Refine AI/ML models and develop Monte Carlo simulations.
• Analyze vehicle pace and collaborate with motorsports teams.

Skills

Python

AI/ML modeling techniques

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a related field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Maidstone

Client: General Motors

Location: Maidstone, 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. Due to live race events on weekends, flexibility in work schedule is necessary.

The Role

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

What You’ll Do

• Refine existing AI/ML models for Sportscars, improving Python codebases and reimagining models when needed.
• Develop platforms for Monte Carlo simulations.
• Create tire degradation models, optimizing parameters for accurate predictions.
• Design visualizations to effectively communicate insights, prototyping and collaborating with IT and software teams for deployment.
• Use race strategy tools to verify and enhance performance, working with IMSA and WEC teams.
• Analyze vehicle pace, track migration, traffic, energy strategies, and tire and fuel effects.
• Predict pace variations to inform race and session strategies.
• Collaborate across GM and sponsored motorsports teams to develop and support race strategy tools.
• Co-develop race strategy software with data science and IT teams.
• Apply analysis techniques across different racing series for process validation and model refinement.

Additional Job Description

What You’ll Need (Required 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 strategy tools.
• Knowledge of motorsports race strategy tools and analysis during live races.
• Proficiency in Python, MATLAB, or similar.
• Familiarity with AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and forward-thinking.
• Excellent interpersonal skills, relationship-building, and patience for mentoring.
• Ability to travel within the US (~10%).

Preferred Qualifications

• Master’s degree in a related quantitative field.
• Experience in tire modeling, simulation workflows, 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 embrace responsibility to lead positive change, fostering an inclusive environment where every employee feels they belong.

Why Join Us

We aim to be the most inclusive company globally, supporting flexible work arrangements and promoting diversity and belonging.

Benefits Overview

Our total rewards include paid time off, healthcare, retirement contributions, recognition programs, tuition assistance, and vehicle discounts.

Diversity and Equal Opportunity

GM is committed to diversity and inclusion, providing a work environment free of discrimination. We encourage all qualified candidates to apply and offer accommodations for applicants with disabilities.