Summer 2026 Internship, AI & Advanced Analytics

Job Description

Summer 2026 Internship, AI & Advanced Analytics | Under Armour

The Tone:
This is a 12-week internship at Under Armour, located in Baltimore, MD, with relocation assistance provided. Under Armour is a global organization committed to innovation, focused on making athletes and teammates better by providing performance solutions you never knew you needed but can’t imagine living without. This role offers a hands-on, self-driven project experience with a real business impact, designed to integrate you into the company’s mission and operations, while fostering cross-functional collaboration and a global mindset as you work one-on-one with a mentor and participate in development opportunities.

The TL;DR
• Role: Internship
• Type: Hybrid or fully in-office
• Location: Baltimore, MD (Hybrid)
• Team: AI & Advanced Analytics
• Mission: Develop innovative solutions using machine learning, statistical modeling, and data visualization to power business decisions and athlete performance insights.

What You’ll Actually Do
• Project Leadership: Drive a hands-on, self-driven project designed to make a real business impact throughout the 12-week program.
• Solution Development: Collaborate with Under Armour’s data science and analytics teams to develop innovative solutions.
• Technique Application: Apply machine learning techniques to address real-world business challenges.
• Statistical Modeling: Utilize statistical modeling to extract insights and inform data-driven business decisions.
• Data Visualization: Employ data visualization techniques to effectively communicate complex data findings and insights to cross-functional partners.
• Professional Development: Access learning experiences including interactive Q&A sessions with executives and professional development opportunities with talent advisors.
• Mentorship: Work directly one-on-one with a dedicated mentor throughout the duration of the internship.

The Must-Haves
• Background: Currently enrolled in a 4-year undergraduate or graduate program, with an expected graduation between December 2026 – July 2027.
• Experience: Demonstrated academic coursework or project experience applying machine learning, statistical modeling, and data visualization techniques.
• Skills: Proficiency in machine learning, statistical modeling, data visualization, and analytical problem-solving.
• Bonus: A curious mindset and a passion for leveraging data and artificial intelligence to drive tangible results.