Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is looking for a Motorsports Sportscar Data Analyst to enhance race strategy through advanced data science techniques. This role involves developing AI/ML models, creating simulations, and refining tire degradation models to improve race performance. You will collaborate with leading motorsports teams, utilizing your expertise to analyze critical race data and inform strategic decisions. Ideal candidates will have a strong background in engineering or data science, with a passion for motorsports and a knack for problem-solving. Join a dynamic team and contribute to cutting-edge racing strategies!

Benefits

Relocation benefits

Travel opportunities

Collaborative work environment

Qualifications

• 5+ years in motorsports with 2+ years developing strategy tools.
• Deep knowledge of race strategy tools and live event analysis.

Responsibilities

• Develop AI/ML models for motorsports applications.
• Create platforms for Monte Carlo simulations and analyze vehicle pace.

Skills

Python

AI/ML modeling techniques

Data analysis

Interpersonal skills

Education

Bachelor’s degree in Engineering

Master’s degree in a quantitative field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Manchester

Client: General Motors

Location: Manchester, 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, split-second identification of pivotal strategy inflection points during live race events.

Responsibilities

• Develop and refine AI/ML models for motorsports applications, updating existing Python code and reimagining models as needed.
• Create a platform for running and analyzing Monte Carlo simulations.
• Develop tire degradation models, refining parameters for accurate predictions.
• Design visualizations to effectively communicate insights, prototyping and collaborating with IT and software teams for deployment.
• Verify and improve race strategy tools and models, collaborating with IMSA and WEC teams for implementation.
• Analyze vehicle pace, track conditions, traffic, energy strategies, and tire and fuel effects.
• Predict pace variations to inform session planning and strategy.
• Work with GM motorsports teams to develop and support race strategy tools, providing analytic guidance.
• Co-develop 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.
• At least 5 years of experience in top-level motorsports series, with 2+ years developing or using strategy tools.
• Deep knowledge of motorsports race strategy tools and analysis 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 mindset.
• Excellent interpersonal skills, ability to build relationships across teams, and mentoring capabilities.

This role may be eligible for relocation benefits and requires travel within the US approximately 10% of the time.

Preferred Qualifications

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