Motorsports Sportscar Data Analyst

JR United Kingdom; City of Edinburgh; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player in motorsports is seeking a Data Analyst to enhance race strategies through innovative data science techniques. This hybrid role involves developing AI/ML models and simulation platforms to optimize race performance. You'll collaborate with leading teams to analyze vehicle dynamics and create impactful visualizations. If you have a strong background in engineering or data science and a passion for motorsports, this is your chance to make a significant impact in a dynamic environment. Join a company committed to diversity and innovation, and help shape the future of racing.

Benefits

Paid time off

Healthcare

401K

Tuition assistance

Vehicle discounts

Qualifications

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

Responsibilities

• Apply data science and modeling techniques to develop race strategy tools.
• Create visualizations to convey insights effectively, collaborating with IT and software teams.

Skills

Python

MATLAB

AI/ML modeling techniques

Data analysis

Organizational skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a related field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Edinburgh

Client: General Motors

Location: Edinburgh, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Details

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description

This role is categorized as hybrid, requiring the 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, including AI/ML models.
2. Develop simulation platforms and tire degradation models for race predictions.
3. Create visualizations to convey insights effectively, collaborating with IT and software teams.
4. Verify race strategy tools for accuracy, collaborating with IMSA and WEC teams.
5. Analyze vehicle pace, track migration, traffic, and fuel strategies to optimize race performance.
6. Work with GM and motorsports teams to develop and support race strategy tools.
7. Co-develop race strategy software with data science and IT teams.
8. Apply analysis techniques across different racing series to validate and refine models.

Qualifications

Required:

• 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.
• Experience with motorsports race strategy tools and analysis during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and interpersonal abilities.
• Ability to travel within the US (~10%).

Preferred:

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We promote inclusion, flexibility, and a culture of belonging.

Benefits

• Paid time off, healthcare, 401K, recognition programs, tuition assistance, vehicle discounts, and more.

Diversity & Equal Opportunity

GM is committed to diversity, inclusion, and providing a discrimination-free workplace. We encourage all qualified candidates to apply and provide accommodations upon request.