At a Glance
- Tasks: Support race strategy by analysing telemetry and track data for the IndyCar Program.
- Company: Join General Motors, a leader in innovation and motorsports.
- Benefits: Gain hands-on experience, competitive pay, and a chance to work with industry experts.
- Other info: Hybrid work model with opportunities for career growth in a collaborative environment.
- Why this job: Be part of a dynamic team that drives real change in racing performance.
- Qualifications: Pursuing a degree in Engineering, Data Science, or Statistics; must graduate between Dec 2027 and May 2029.
The predicted salary is between 22500 - 27500 £ per year.
The Role: 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 Team: 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.
What You’ll Do:
- 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.
Required Qualifications:
- Pursuit of a Bachelor’s degree in one of the following areas: Engineering, Data Science, Statistics.
- Must be graduating between December 2027 and May 2029.
- Able to work fulltime, 40 hours per week during the summer months.
Preferred Qualifications:
- 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.
Work Arrangement: Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Charlotte Technical Center three times per week, at minimum.
Start dates for this internship role are May 24th & June 14th of 2027.
2027 Summer Intern – IndyCar Race Strategy & Analytics in Concord employer: General Motors
At GM, we pride ourselves on being an exceptional employer, particularly within our innovative Motorsports Software team based in Ireland. Our collaborative work culture fosters inclusivity and belonging, while offering employees the chance to grow through mentorship and hands-on experience in a fast-paced environment that directly impacts the thrilling world of motorsports. With a commitment to meaningful change and a vision for a safer, more equitable future, joining GM means being part of a team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 Summer Intern – IndyCar Race Strategy & Analytics in Concord
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 2027 Summer Intern – IndyCar Race Strategy & Analytics in Concord
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at General Motors will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at General Motors
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress General Motors.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show General Motors that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
