Motorsports Sportscar Data Analyst

JR United Kingdom; Doncaster; On-site; GBP 45,000 - 80,000; Full time

Job summary

An established industry player is looking for a Motorsports Sportscar Data Analyst to join their dynamic team in Doncaster. This exciting role involves applying data science and modeling techniques to enhance race strategy tools, enabling insightful decision-making during live events. You'll refine AI/ML models and collaborate with various teams to develop innovative visualizations and simulations. If you're passionate about motorsports and have a strong background in data analysis, this is a unique opportunity to make a significant impact in a fast-paced environment. Join a company committed to diversity and inclusion, offering comprehensive benefits and potential relocation assistance.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401K Plan

Relocation Benefits

Diversity and Inclusion Programs

Qualifications

• 5+ years in top-level motorsports series with experience in strategy tools.
• Proficiency in Python, MATLAB, or similar programming languages.

Responsibilities

• Refine existing AI/ML models for motorsport applications.
• Develop platforms for running Monte Carlo simulations.
• Collaborate across teams to support race strategy software.

Skills

Python

AI/ML techniques

MATLAB

Data Science

Statistical Analysis

Education

Bachelor's Degree in Engineering

Master's Degree in relevant field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Doncaster

Client: General Motors

Location: Doncaster, 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 motorsport applications, updating Python codebases as needed.
• Develop platforms for running Monte Carlo simulations and create tire degradation models for accurate predictions.
• Design and prototype new visualizations to effectively communicate insights, collaborating with IT and software teams for deployment.
• Validate race strategy tools and models, working with IMSA and WEC teams to extract actionable insights.
• Resolve vehicle pace estimations considering track migration, traffic, and energy strategies.
• Predict pace variations to optimize session planning and strategy development.
• Collaborate across teams to develop and support race strategy software, sharing techniques across different racing series.

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) with experience in strategy tools.
• Proficiency in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML techniques and industry applications.
• Strong organizational and interpersonal skills, with a collaborative mindset.

Preferred Qualifications

• Master’s degree in a relevant field.
• Experience in tire modeling, simulation workflows, and machine learning libraries.
• Familiarity with big data tools such as Hadoop, Spark, SQL, NoSQL.

Additional Information

This role may be eligible for relocation benefits and requires up to 10% travel within the US. GM offers comprehensive benefits including health, dental, vision, 401K, and more. We are committed to diversity and inclusion and encourage all qualified candidates to apply.