Motorsports Sportscar Data Analyst

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

Job summary

An established industry player seeks a dynamic Motorsports Sportscar Data Analyst to leverage data science in enhancing race strategies. This exciting role involves refining AI/ML models, developing simulation platforms, and collaborating with cross-functional teams to provide real-time insights during live events. If you have a passion for motorsports and a strong analytical background, this position offers the opportunity to make a significant impact in a fast-paced environment while engaging with top-level racing teams. Join a diverse team that values innovation and teamwork, and help shape the future of motorsport strategy.

Benefits

Health insurance

401K

Paid time off

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in motorsports with experience in strategy tools.
• Strong knowledge of race strategies and analysis during events.

Responsibilities

• Refine AI/ML models and develop Monte Carlo simulations.
• Collaborate with teams to create and improve race strategy tools.

Skills

Python

AI/ML modeling

Data analysis

MATLAB

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Gloucester

Client: General Motors

Location: Gloucester, 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. The role involves supporting pre-race planning and providing real-time insights during live race events.

Responsibilities

1. Refine existing AI/ML models for motorsports applications, updating Python code as needed.
2. Develop platforms for running Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design visualizations to effectively communicate insights, collaborating with IT and software teams for implementation.
5. Verify and improve race strategy tools and models, working with IMSA and WEC teams to derive actionable insights.
6. Analyze vehicle pace considering track migration, traffic, and energy strategies.
7. Predict pace variations to inform race and session strategies.
8. Collaborate with cross-functional teams within GM and motorsports to develop and support strategy tools.
9. Co-develop race strategy software with data science and IT teams.
10. 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.) with 2+ years developing or using strategy tools.
• Deep knowledge of motorsports race strategies and analysis during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Experience with AI/ML modeling and industry-relevant methods.
• Strong organizational skills, attention to detail, and a forward-thinking mindset.
• Excellent interpersonal skills, with experience in team collaboration and navigating organizational politics.
• Ability to travel within the US up to 10% of the time.

Preferred Qualifications

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

Additional Information

GM offers a comprehensive benefits package, including health insurance, 401K, paid time off, tuition assistance, and vehicle discounts. The company values diversity and inclusion, fostering a workplace where everyone belongs. GM is an equal opportunity employer, committed to fair employment practices and providing accommodations for applicants with disabilities.