Advertising & Partnerships Ad Products Internships – Academic Year

Looking to ace your upcoming academic year? As an NBCUniversal Academic Year intern, you’ll work on real projects, be part of our collaborative culture, and get the support you need to grow - across two full semesters. Our Internship Program is all about impact, giving you the chance to contribute to meaningful work while building skills that matter. If you’re curious, driven, and excited about media, entertainment, and technology, we provide an environment designed to help you learn and grow every day. In addition to all of our internships being paid, we will also offer the following for our Academic Year interns: Paid time off for mental health, academic exams, and personal holidays. Robust networking, learning and professional development opportunities. Complimentary Peacock subscription for the duration of the internship. Free admission to Universal Parks to use during your internship. Access to mental health resources, including counseling sessions. Academic Year Internship Program Details Program Dates: September 21, 2026 – April 23, 2027 Time Commitment: 16-24 hours per week. Exact schedule to be determined based on business need. We will do our best to accommodate course schedules. Format: Opportunities listed will be fully virtual. Academic Year Recruitment Timeline April 20: Applications open May 8: Applications close at 11:59pm ET (we recommend you submit your application as soon as possible – applications may close earlier due to applicant volume!) Early May – Mid June: First round video interviews Mid June – Mid July: Second round interviews Throughout July: Selected candidates receive offers To Apply: Submit a one-page resume that outlines your work experience, accomplishments, and your graduation month and year. Submit a cover letter that highlights your passion for NBCUniversal and your top areas of interest (opportunities listed below). Upload a transcript (unofficial transcripts are fine) that confirms your status as an actively enrolled student in a degree-granting program. The Advertising & Partnerships division is a multifaceted organization that connects the content portfolio of NBCUniversal to advertisers, brand partners, and consumers. The division is broken out broadly into five core business areas: Ad Sales, which manages relationships with agencies and businesses of all sizes; Advertising Product & Solutions, which develops, operationalizes, and scales the products and solutions that enable innovation, automation, and performance across our ad sales ecosystem; Strategy, which uses research and data to guide big-picture decisions across content and advertising ; Enterprise Marketing & Communications, which manages NBCUniversal's brand and storytelling across the marketplace, and Platform Monetization, which owns and optimizes the entire Pitch-to-Pay process, from building and pricing innovative plans to delivering industry-leading customer service, and driving growth through upsells and renewals. Together, these groups combine to support the division's mission to be the industry's most valuable partner for maximizing media effectiveness for clients of all sizes. Areas of placement may include, but are not limited to: Data Science The Data Science team instils advanced analytics and data science principles into advertising technology. The team collaborates with multiple product teams to support predictive modeling, measurement & optimization, reporting and analysis. This internship position offers a hands on opportunity to apply quantitative modeling, optimization, AI/ML to real word advertising challenges. You'll work with data scientists, analysts and product managers to design and test algorithms that predict performance and maximize ROI.

Job ID
744000121820063
DetailURL
https://jobs.smartrecruiters.com/NBCUniversal3/744000121820063
Job Level
Job Location
Profession
LastUpdated
Search Meta
REF38835R Ad Sales Ad Sales Business Operations & Strategy Other United States All Remote
Job Reference number
REF38835R
Multi Location
No
Is Remote Job?
Yes