2027 Summer Intern – IndyCar Race Strategy & Analytics
About The Position
Support the Chevrolet IndyCar Program by turning race, telemetry, timing, scoring, and track data into reliable analysis and decision support. The intern will work with Drew Bennison and the Race Strategy & Analytics team to prepare data, test analytical tools, evaluate model outputs, and communicate findings that help improve race-weekend execution. The Motorsports Competition analytics team develops practical tools for race strategy and performance improvement across road courses, street circuits, ovals, and superspeedways. The team partners with race engineers, strategists, Chevrolet teams, Ilmor, GM engineering groups, and data/software specialists to make better decisions throughout testing, race events, and the offseason.
Requirements
- Pursuit of a Bachelor’s degree in Engineering, Data Science, or Statistics
- Graduating between December 2027 and May 2029
- Able to work fulltime, 40 hours per week during the summer months
Nice To Haves
- Experience with Python, SQL, data visualization, or statistical analysis
- Familiarity with Git, APIs, databases, cloud analytics, or software testing
- Coursework or project experience involving simulation, optimization, machine learning, or time-series data
- Interest in motorsports, vehicle performance, race engineering, or other high-performance technical environments
- Strong problem-solving, communication, organization, and technical writing skills
- Ability to work collaboratively while also completing well-defined tasks independently
Responsibilities
- Assist with collecting, cleaning, organizing, and validating IndyCar race, telemetry, timing, scoring, fuel, tire, and track data.
- Support back-testing, scenario analysis, and basic simulation of race-strategy recommendations.
- Help evaluate model inputs and outputs related to fuel usage, tire performance, cautions, pit cycles, track position, and remaining-race conditions.
- Maintain track configuration data, timing lines, pit segments, logical segments, and related documentation.
- Create clear charts, summaries, dashboards, and technical documentation for engineering and competition stakeholders.
- Support software and data-engineering tasks such as testing workflows, checking APIs or data pipelines, documenting defects, and verifying fixes.
- Participate in race-replay reviews and help compare model recommendations with actual race outcomes.
- Learn and apply disciplined practices for version control, testing, data quality, and communicating analytical assumptions.
Benefits
- Relocation benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
