Motorsports Sportscar Data Analyst

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

Job summary

An established industry player is seeking a Motorsports Sportscar Data Analyst to leverage data science in enhancing race strategies. This role involves developing AI and ML models, creating tire degradation models, and collaborating with cross-functional teams to optimize race tactics. You will work with leading motorsports divisions, contributing to innovative software solutions that drive performance on the track. If you are passionate about motorsports and data analytics, this opportunity offers a dynamic environment where your expertise can make a significant impact.

Benefits

Health coverage

Retirement plans

Vehicle discounts

Relocation benefits

Qualifications

• 5+ years of experience in top-level motorsports series.
• Proficiency in Python and AI/ML modeling techniques.

Responsibilities

• Refine and develop AI/ML models for motorsports applications.
• Analyze vehicle pace and traffic to inform race tactics.

Skills

Python

AI/ML modeling

MATLAB

Data analysis

Collaboration

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

Hadoop

Spark

SQL

NoSQL databases

Job description

Motorsports Sportscar Data Analyst, Lincoln

Client: General Motors

Location: Lincoln, 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

• Refine and develop AI/ML models for motorsports applications, including Python codebases and simulation platforms.
• Create tire degradation models and develop visualization tools to communicate insights effectively.
• Verify and improve race strategy tools, collaborating with IMSA and WEC teams for implementation and insights.
• Analyze vehicle pace, track migration, traffic, and energy strategies to inform race tactics.
• Work with cross-functional teams within GM and its motorsports divisions to develop and support strategy tools.
• Contribute to the development of race strategy software and adapt analysis techniques across different racing series.

Qualifications

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• At least 5 years of experience in top-level motorsports series, with 2+ years developing or using strategy tools.
• Proficiency in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML modeling techniques and industry applications.
• Strong organizational skills, attention to detail, and the ability to collaborate across teams.

Preferred Qualifications

• Master’s degree in a quantitative field.
• Experience with tire modeling, simulation workflows, and machine learning libraries.
• Knowledge of big data tools such as Hadoop, Spark, SQL, and NoSQL databases.

Additional Information

This role may offer relocation benefits and requires travel within the United States up to 10%. GM promotes diversity and inclusion and offers comprehensive benefits including health coverage, retirement plans, and vehicle discounts.