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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 role. Instead, Lensa promotes jobs on behalf of its direct clients, recruitment ad agencies, and marketing partners. For this specific role, Lensa partners with DirectEmployers to promote the job for Under Armour. Clicking “Apply Now” or “Read more” will redirect you to the job board/employer site, where any information collected is subject to their terms and privacy notice.
Under Armour: Mission & Values
Under Armour’s core mission is “to make you better.” The company is committed to innovation, not only for its athletes but also for its teammates. As a global organization, Under Armour teams worldwide push boundaries and think beyond expectations. Teammates are unified by shared values and grounded in a vision to inspire with performance solutions that are essential yet previously unimagined.
Position Summary: Rookie Internship Program
As an Under Armour Rookie Intern, you will be given a hands-on, self-driven project designed to make a real business impact. This 12-week program provides:
- One-on-one mentorship.
- Access to learning experiences, including interactive Q&A sessions with executives.
- Professional development opportunities with talent advisors.
The program emphasizes cross-functional collaboration and a global mindset, allowing interns to understand the broader impact of their work.
Placement Area: AI & Advanced Analytics
The AI/Advanced Analytics Rookie Intern will join Under Armour’s data science and analytics teams. This role involves:
- Developing innovative solutions to power business decisions and athlete performance insights.
- Applying machine learning, statistical modeling, and data visualization techniques to real-world challenges.
- Collaborating with cross-functional partners.
Ideal candidates are described as curious problem-solvers with a strong passion for leveraging data and AI to drive results.
Eligibility Requirements
Candidates must be currently enrolled in a 4-year undergraduate or graduate program with an expected graduation date between December 2026 and July 2027.
Workplace Location
This internship is located at the Baltimore, MD headquarters office. Relocation assistance is provided. The work schedule will be either hybrid or fully in-office.
Hiring Process
The hiring process for this internship is as follows:
- Resume Review: Will commence immediately upon application.
- Virtual Interview: If your experience aligns, you will be invited to virtually interview with potential team members. There may be opportunities to interview for multiple roles.
- Offer & Follow-up: Upon completion of virtual interviews, the recruiting team will extend offers or follow up directly regarding your status.
Under Armour’s Commitment to Diversity & Inclusion
Under Armour is dedicated to fostering an environment of mutual respect, where equal employment opportunities are available to all applicants and teammates. This commitment ensures no discrimination based on 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 strongly believes that diversity and inclusion among its teammates are critical to its success as a global company, actively seeking to recruit, develop, and retain the most talented people from a diverse candidate pool.
Job Details
- Requisition ID: 162833
- Location: Remote, US (Note: Conflicting information regarding “Remote, US” vs. “Baltimore, MD headquarters office.” Please clarify with Lensa support if needed.)
- Business Unit Region: North America
- Employee Class Employment Type: [Not Specified in text]
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For questions about this posting, please contact support@lensa.com.