Advertising & Partnerships: Data Science Internship - Summer 2027

Nbcuniversal3; New York (NY); On-site; USD 25,000 - 34,000; Full time

Benefits offered by this job

Paid holidays

Peacock subscription

Universal Parks access

Networking opportunities

Mental health resources

Housing/transportation assistance (may

Job summary

NBCUniversal is offering a paid Summer Internship Program in New York, NY, for 40 hours per week from June 7 to August 13, 2027. Interns will engage in data science, analytics, and advertising technology projects across NBCUniversal's brands and platforms.

Qualified candidates are currently enrolled in a degree program, with sophomore standing or higher, and have experience with Python and SQL for data analysis. In-person work is required in New York, NY.

Qualifications

• Must be actively enrolled in a degree‑granting program during the entire duration of the program.
• Current class standing of sophomore or above (30 credits).
• Must be presently authorized to work in the United States without requiring visa sponsorship.
• Must be available to work 40 hours per week from June 7 to August 13, 2027.
• Must be willing to work in New York, NY.

Responsibilities

• Support NBCUniversal Advertising & Partnerships data science initiatives using Python and SQL.
• Analyze large datasets and contribute to data-driven advertising/marketing insights.
• Collaborate with cross-functional teams to translate technical findings into actionable recommendations.
• Assist with machine learning projects and data analysis to optimize media campaigns.

Skills

Data analysis

Statistics

Machine learning concepts

Strong analytical skills

Education

Enrolled in a degree program

Tools

Python

SQL

Job description

Your future in media starts here. The NBCUniversal Summer Internship Program is your chance to help shape what's next in media and entertainment. Whether you're supporting major news coverage, creating content for iconic brands, or contributing to innovative projects, you'll bring your ideas, creativity, and perspective to make an impact throughout your internship.

Beyond your day-to-day role, you'll take part in a thoughtfully designed program focused on career development, building your professional presence, and growing your workplace confidence. Through real-world experience and a community of fellow interns, you'll explore what's possible in this ever changing and exciting industry.

In addition to all of our internships being paid, we will also offer the following for our Summer 2027 interns:

• Paid company holidays for full-time interns.
• Robust networking, learning and development opportunities.
• Complimentary Peacock subscription during your internship.
• Free admission to Universal Parks to use during your internship.
• Access to mental health resources including counseling sessions.
• Financial assistance to offset expenses for transportation and housing may be available on a needs-based basis for eligible in-person interns. More details about eligibility for this assistance will be provided at the time of offer.

Summer 2027 Program Details

Program Dates: June 7 - August 13, 2027

Time Commitment: 40 hours per week. Exact schedule to be determined based on business need.

Format: Opportunities listed will require an intern to work from New York, NY.

Summer 2027 Recruitment Timeline

November 9 - December 4: Applications Open (may close early due to applicant volume)

Mid November - Late December: First round video interviews

Mid - Late January: Second round interviews

Late January - February: Selected candidates receive offers

NBCUniversal Advertising & Partnerships brings together the power of NBCUniversal's iconic brands, premium content, innovative technology, and expansive audiences to create meaningful connections between advertisers and consumers. From entertainment and sports to streaming and digital platforms, our teams work across sales, marketing, insights, data, technology, and creative solutions to develop impactful advertising experiences for brands and partners.

Areas of placement may include, but are not limited to:

Ad Sales Data Science: The Advertising Data Science team develops advanced analytics, machine learning capabilities, and privacy-safe data solutions that support NBCUniversal's advertising business. Interns may use Python and SQL to analyze large datasets, evaluate synthetic data, support media optimization projects, and collaborate with cross-functional partners. This opportunity provides hands‑on experience applying data science and machine learning to real-world advertising and media challenges.

Basic Requirements

• Must be actively enrolled in a degree‑granting program at an accredited institution during the entire duration of the program. Spring 2027 graduates are not eligible for our Summer 2027 internship program.
• Current class standing of sophomore or above (30 credits).
• Must be presently authorized to work for any employer in the United States and must not require work visa sponsorship from NBCUniversal now or in the future to retain authorization to work in the United States.
• Must be available to work 40 hours per week from June 7 - August 13, 2027.
• Must be willing to work in New York, NY.

For further clarification, candidates currently on any student or exchange visa (e.g. F-1 CPT, F-1 OPT, J-1, M-1) are not eligible to apply unless they will be able to change or adjust to another status that grants work authorization without NBCUniversal sponsorship.

NBCUniversal is an E-Verify company, requiring all employees to have an active Social Security number. Any candidate receiving an internship offer must complete I-9 form with Social Security number within 3 days of hire.

Desired Characteristics

• Students with class standing of junior or above preferred.
• Cumulative GPA of 3.0 or above.
• Pursuing a degree in a quantitative or technical field, such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Experience with Python and SQL for data analysis and manipulation.
• Understanding of statistics, data analysis, and machine learning concepts.
• Comfortable working with large datasets and translating technical findings into clear insights.
• Strong analytical and problem‑solving skills with an interest in advertising, media, or marketing tech.