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Internship Computer Science Sports information

What is an internship computer science sports position?

Internship computer science sports positions are temporary roles where students or recent graduates work with sports organizations or companies to apply their computer science skills. These internships often involve tasks such as data analysis, software development, or working with sports technologies like tracking systems and performance analytics. Interns may help develop apps, analyze player or game data, or support the IT needs of a sports team. These roles provide valuable experience in both the tech and sports industries, helping interns build relevant skills and professional networks.

What are the key skills and qualifications needed to thrive as an intern in computer science within the sports industry?

To thrive as a Computer Science intern in the sports industry, you need a foundation in programming languages (such as Python or Java), familiarity with data structures, and coursework or experience in software development or data analysis. Knowledge of sports analytics platforms, database management systems, and version control tools like Git is highly valuable, and relevant certifications or coursework can enhance your application. Strong teamwork, communication, and problem-solving skills help you adapt quickly and contribute effectively in a collaborative and fast-paced environment. These competencies are crucial for developing technical solutions and providing actionable insights that enhance sports performance and operations.

What types of projects might I work on during a computer science internship in the sports industry?

As a Computer Science intern in the sports industry, you can expect to work on projects such as analyzing player performance data, developing software tools for coaches and analysts, or creating fan engagement applications. You may also assist with optimizing existing systems, automating data collection, or supporting the development of mobile or web platforms. Collaboration with data scientists, coaches, and other IT team members is common, providing you with a broad exposure to both technical and industry-specific challenges.
What are the most commonly searched types of Computer Science Sports jobs in Chicago, IL? The most popular types of Computer Science Sports jobs in Chicago, IL are:
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Internship Computer Science Sports jobs near you
Infographic showing various Internship Computer Science Sports job openings in Chicago, IL as of August 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 16 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science