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Internship Computer Science Sports Jobs in Pittsburgh, PA

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

PhD in Computer Vision, Machine Learning, Computer Science, or a closely related field * Strong ... Background in sports analytics, sports tech, or applied computer vision (industry, research, or ...

YinzCam Inc.

AR/VR Developer

Pittsburgh, PA · On-site

... sports teams/stadiums by analyzing user needs and software requirements and applying principles and techniques of computer science, engineering, and mathematical analysis. * Consulting with clients ...

Howmet Aerospace

Data Scientist

Pittsburgh, PA · On-site

$38K - $43K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Internship, co-op, academic research, or personal project experience involving analytics, machine ...

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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 Pittsburgh, PA?

The most popular types of Computer Science Sports jobs in Pittsburgh, PA are:

What are popular job titles related to Internship Computer Science Sports jobs in Pittsburgh, PA?

For Internship Computer Science Sports jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Internship Computer Science Sports jobs in Pittsburgh, PA look for?

The top searched job categories for Internship Computer Science Sports jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Internship Computer Science Sports jobs?

Cities near Pittsburgh, PA with the most Internship Computer Science Sports job openings:

Internship Computer Science Sports jobs near you
Infographic showing various Internship Computer Science Sports job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Internship - Artificial Intelligence - Software Modernization

RJ Lee Group

Pittsburgh, PA • On-site

Full-time, Part-time, Internship

Posted 4 days ago

Job description

Position Summary
The AI - Software Modernization Internship is an exciting opportunity for students passionate about emerging technology to help transform RJ Lee Group's internal business ecosystem. Interns will work on projects that integrate AI capabilities into existing workflows, helping to automate and streamline core business and scientific processes.
Key Responsibilities
  • Assistinidentifyingand scoping opportunities for AI/ML integration within existing business and laboratory software systems
  • Support development and testing of AI-assisted tools, automation scripts, or workflow enhancements
  • Research and evaluate modern AI frameworks, APIs, and platforms for practical applicability
  • Collaborate with cross-functional teams including scientists, IT, and operations to implement process improvements
  • Document findings, workflows, and project outcomes for internal use

Qualifications
  • Currentlypursuing a degree in Computer Science, Data Science, AI/ML, or a related field (at least 2 years completed)
  • Foundational understanding of machine learning concepts and/or experience with AI tools and frameworks (e.g., Python, TensorFlow, OpenAI APIs,LangChain, etc.)
  • Intellectual curiosity and enthusiasm for applying AI to real-world business problems
  • Strong communicationskills to bridge technical and non-technical stakeholders
  • Must be able to work onsite or in a hybrid capacity during the internship period

Core Competencies
  • Attention to Detail
  • Confidentiality & Integrity
  • Organization & Time Management
  • Communication & Professionalism
  • Adaptability & Change Management
  • Data Accuracy & Compliance

Internship Duration
  • Start Date: May or June
  • End Date: End of summer (flexible based on academic schedules)
  • Full-time or part-time schedule options depending on department needs

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