IT Intern
IT Intern – AI & Intelligent Automation
|
About Our Company At Lids Sports Group, we don’t just sell hats — we fuel fandom. As the largest licensed sports retailer in North America, we bring sports, fashion, and culture together in more than 1,300 stores nationwide. Headquartered in Indianapolis, Indiana, Lids delivers premium, fan-driven products and unforgettable retail experiences.
Our stores feature officially licensed headwear and apparel from collegiate and professional teams, alongside top brands like Champion, Nike, New Era, Lululemon Athletica, and Mitchell & Ness. We’re also the industry leader in on-demand customization, offering in-store embroidery that turns everyday gear into one-of-a-kind statements.
From specialty concept stores for the NBA and NHL to iconic clubhouse destinations for the Yankees and Dodgers, we create immersive retail experiences that celebrate the teams fans love. Through collaborations with brands like Marvel, Peanuts, and The Walt Disney Company, Lids continues to redefine how fans represent their teams — in style. |
|
General Position Summary Lids is seeking a highly motivated and innovative IT Intern – AI & Intelligent Automation to join our growing AI organization. This internship offers hands-on experience working on real-world Artificial Intelligence, Machine Learning, Agentic AI, Data Science, and Microsoft Power Platform initiatives that directly support retail, eCommerce, supply chain, merchandising, and corporate operations. The intern will work alongside Data Scientists, AI Engineers, Power Platform Developers, Solution Architects, and business leaders to help design, build, test, and support intelligent solutions that drive automation, improve decision-making, and enhance associate productivity across the enterprise. |
|
Principal Duties and Responsibilities Artificial Intelligence & Agent Development
Machine Learning & Data Science
Microsoft Power Platform
Data & Analytics
Innovation & Continuous Learning
|
|
Job Required Knowledge and Skills · For consideration to participate in the internship program, an applicant must have a 3.0 minimum GPA and be a full-time student pursuing a bachelor's or higher degree in a IT-related field at an accredited college/university or attending an accredited 2-year college/university · A selected student must be present for the duration of the internship from 06/01/2026 to 07/31/2026 · This internship is full on-site at our corporate office in Indianapolis. If not local, you must be willing to relocate to the Indianapolis area for the summer · Expected to graduate between December of 2026 and May 2027 (Junior Status)
Internship Learning Objectives By the end of the internship, participants will:
|
|
Preferred Qualifications Who You Are · Currently pursuing a Bachelor's or Master's degree in: o Computer Science o Data Science o Artificial Intelligence o Information Technology o Computer Engineering o Software Engineering o Analytics o Mathematics o Statistics o Related technical field · Minimum GPA of 3.0 preferred. · Rising Sophomore, Junior, Senior, or Graduate Student. Preferred Coursework
Technical Skills Preferred Experience With:
|
|
What We Offer · Competitive Pay · $200/weekly housing stipend for non-local interns · Opportunity for full-time placement after graduation · Executive exposure and mentorship · Professional development workshops · Daily collaboration with subject matter experts · Snack attack, cold brew coffee on tap, and sports on the TVs! · Casual work environment – Lids is a hat company after all! · 40% associate discount |
|
Physical Demands & Requirements • Ability to operate a computer and work with digital systems for extended periods. • Ability to communicate verbally and visually with internal teams and stakeholders. • Ability to work in an office or remote environment with frequent task deadlines. • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. For inquiries related to reasonable accommodations, please contact HR@Lids.com. |
|
Work Environment • Onsite office work environment. • Standard business hours from 8 a.m. – 5 p.m., flexibility may be provided upon request. |
|
ADDITIONAL INFORMATION
|
Skills
- Accessibility
- Agentic AI
- AI
- Analytics
- Automation
- Azure
- Cloud
- Data Analytics
- Data Quality
- Data Science
- Data Visualization
- E-commerce
- Generative AI
- GitHub
- LLM
- Machine Learning
- Microsoft Copilot
- Microsoft Fabric
- OpenAI
- Power Automate
- Power Platform
- Power Apps
- Power BI
- Predictive Analytics
- Proof of Concept
- Python
- SQL
- Statistics