Summer 2026 Internship, AI & Advanced Analytics

February 16, 2026

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Job Description

About the Job: Summer 2026 Internship, AI & Advanced Analytics

This job posting is promoted by Lensa, a career site that helps job seekers find jobs in the US. Lensa is not a staffing firm or agency and does not hire directly for this position. It promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this specific job for Under Armour. Clicking “Apply Now” or “Read more” will redirect you to the job board/employer site, where any collected information is subject to their terms and privacy notice.

Company Overview: Under Armour

Under Armour’s singular mission is: to make you better. The company is committed to innovation, which is central to its operations for both athletes and teammates. As a global organization, its teams worldwide push boundaries and think beyond expectations. Teammates are unified by core values and a vision to inspire with performance solutions that customers never knew they needed but can’t imagine living without.

Position Summary: Summer 2026 Internship, AI & Advanced Analytics

As an Under Armour Rookie, you will be given a hands-on, self-driven project designed to make a real business impact. This 12-week internship offers:

  • One-on-One Mentorship: Work closely with a dedicated mentor throughout the program.
  • Learning Experiences: Access interactive Q&A sessions with executives.
  • Professional Development: Opportunities with talent advisors.
  • Cross-Functional Collaboration: Experience how your work contributes across different teams and a global mindset.

Placement Area: AI & Advanced Analytics

The AI/Advanced Analytics Rookie will collaborate with Under Armour’s data science and analytics teams to develop innovative solutions. These solutions will power business decisions and provide athlete performance insights. This role involves:

  • Applying machine learning techniques.
  • Utilizing statistical modeling.
  • Implementing data visualization techniques.
  • Working on real-world challenges.
  • Collaborating with cross-functional partners.

Ideal candidates are curious problem-solvers with a strong passion for leveraging data and AI to drive results.

Eligibility

  • Currently enrolled in a 4-year undergraduate or graduate program.
  • Expected graduation between December 2026 – July 2027.

Workplace Location

  • Baltimore, MD headquarters office.
  • Relocation assistance is provided.
  • Work schedule can be Hybrid or fully in-office.

Hiring Process

The hiring process for this internship is as follows:

  1. Resume Review: This process will begin immediately upon application.
  2. Virtual Interview Invitation: If your experience aligns with the team’s interests, you will be invited to interview virtually with potential team members.
  3. Multiple Role Opportunities: You may have the chance to interview for more than one role if applicable.
  4. Offer/Follow-up: Upon completion of virtual interviews, the recruiting team will extend offers or provide a direct status update.

Diversity & Inclusion Commitment

At Under Armour, the company is committed to fostering an environment of mutual respect and providing equal employment opportunities to all applicants and teammates. This commitment extends without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among its teammates are critical to its success as a global company and actively seeks to recruit, develop, and retain the most talented people from a diverse candidate pool.

Additional Details

  • Requisition ID: 162833
  • Business Unit Region: North America
  • Employment Type: Intern

For questions about this posting, please contact support@lensa.com.