Motorsports Sportscar Data Analyst

JR United Kingdom; Peterborough; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is looking for a Motorsports Sportscar Data Analyst to enhance race strategies using data science and modeling techniques. This exciting role involves refining AI/ML models, developing simulation platforms, and collaborating with top motorsports teams to deliver insights that drive performance. The ideal candidate will thrive in a hybrid work environment, balancing remote work with on-site collaboration. If you're passionate about motorsports and data analysis, this is a fantastic opportunity to make an impact in a dynamic field.

Benefits

Relocation benefits

Flexible scheduling for race events

Qualifications

• 5+ years in top-level motorsports with strategy tool development experience.
• Proficiency in Python and MATLAB for data analysis and modeling.

Responsibilities

• Refine AI/ML models and develop platforms for simulations.
• Analyze vehicle pace and track conditions to inform race strategies.

Skills

Python

AI/ML modeling

Data analysis

MATLAB

Organizational 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

Monte Carlo simulations

Big data tools

Job description

Motorsports Sportscar Data Analyst, Peterborough

Client: General Motors

Location: Peterborough, United Kingdom

Job Category: Other

EU work permit required: Yes

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

1. Refine existing AI/ML models for motorsports applications, updating Python code as needed.
2. Develop platforms for Monte Carlo simulations and tire degradation models.
3. Create visualizations to effectively communicate insights, collaborating with IT and software teams for implementation.
4. Verify and improve race strategy tools and models, working with IMSA and WEC teams.
5. Analyze vehicle pace, track conditions, and other factors to inform race strategies.
6. Collaborate with GM and motorsports teams to develop and support race strategy software.
7. 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.
• Proficiency in Python, MATLAB, or similar programming languages.
• Experience with AI/ML modeling and big data tools is preferred.
• Strong organizational skills, detail-oriented, and good interpersonal abilities.
• Ability to travel within the US approximately 10% of the time.

Additional Information

This role may be eligible for relocation benefits. Candidates should be prepared to work in a hybrid setting, reporting to Concord, NC, at least three times per week, with flexible scheduling for race events.