Motorsports Sportscar Data Analyst

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

Job summary

An established industry player is looking for a Motorsports Sportscar Data Analyst to enhance race strategy tools using data science techniques. This role involves developing AI/ML models, analyzing race data, and collaborating with top motorsports teams. The ideal candidate will have a strong background in engineering or data science, with significant experience in motorsports. Join a dynamic team where your analytical skills will directly impact race outcomes and strategy. This exciting opportunity offers potential relocation benefits and a chance to work closely with industry leaders.

Benefits

Relocation benefits

Travel opportunities

Flexible working hours

Qualifications

• 5+ years in top-level motorsports series including 2+ years developing strategy tools.
• Deep knowledge of motorsports race strategy and experience with live analysis.

Responsibilities

• Refine AI/ML models for Sportscar applications and update Python code.
• Develop a platform for running and analyzing Monte Carlo simulations.

Skills

Python

AI/ML modeling techniques

Data analysis

Statistical analysis

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Bachelor’s Degree in Physics

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Data Science

Tools

MATLAB

Job description

Motorsports Sportscar Data Analyst, Chester

Client: General Motors

Location: Chester, 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 existing AI/ML models for Sportscar applications, updating Python code and reimagining models as needed.
• Develop a platform for running and analyzing Monte Carlo simulations.
• Create tire degradation models and refine parameters for accurate predictions.
• Design and prototype new visualizations to effectively communicate insights, collaborating with IT and software teams for implementation.
• Validate race strategy tools and models, collaborating with IMSA and WEC teams to extract insights from each race.
• Resolve vehicle pace from track migration, traffic, and energy strategies, accounting for tire and fuel effects.
• Predict pace variations to inform session planning and strategy development.
• Collaborate with GM and sponsored motorsports teams to develop and support race strategy tools.
• Co-develop production race strategy software with data science and IT teams.
• Apply analysis techniques across different racing series to validate and refine models.

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.), including 2+ years developing strategy tools.
• Deep knowledge of motorsports race strategy and experience with live analysis.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques and industry applications.
• Strong organizational skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills, relationship-building, and patience for mentoring.

This role may include relocation benefits and requires approximately 10% travel within the U.S.