English Business Title (JM) Disney Ad Sales, Graduate Data Science Engineering Intern, Summer 2026 at The Walt Disney Company

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

UnknownVisa

Advertising, Media, EntertainmentIndustries

Requirements

Course or project-based experience developing code to manipulate data (SQL and Python preferred)
Course or project-based work using basic data engineering concepts (ETL, ELT)
Shown ability to communicate technical concepts to technical and non-technical audiences
Highly engaged, ambitious problem solver who is self-motivated and eager to learn
Eager to collaborate, become part of a team, and lean-in on asking questions from leadership
Currently enrolled in an accredited graduate program in Computer Science, Data Science, Information Systems, Software, or related major preferred
Enrolled in an accredited college/university pursuing a degree, taking at least one class in the semester/quarter prior to the internship and returning to school the semester/quarter following the internship (or currently participating in a Disney College Program or Disney Internship)
Current Disney Interns, College, International, or Culinary Program Participants: may only work for one consecutive year (12 months) in any combination of internship and/or program
Be at least 18 years of age
Possess unrestricted work authorization

Responsibilities

Lead a coding project end-to-end, in close collaboration with a mentor, and understand how the team’s work contributes to the Ad Sales organization overall
Learn how to contribute production-grade code to a complex data engineering system, and gain exposure to enterprise code collaboration patterns
Partner with senior members of the Data Science Engineering team to develop knowledge of advertising sales as an industry and the broad suite of datasets powering predictive models and analytical products
Collaborate with full-time data scientists and data engineers to gain perspective on different aspects of day-to-day projects and responsibilities
Attend team prioritization, reviews, and standups to understand ways of working and actively participate and contribute to cross-functional initiatives
Network with individuals across the Data & Measurement Sciences organization, as well as the broader Sales teams, to explore areas of opportunity for Data Science in Advertising
Assist with the development of best-in-class data products to support Disney Advertising Sales
Lead a project tailored to your interests and experience in close collaboration with a mentor to learn how production-grade data processes are developed at scale
Collaborate closely with other members of the Data Science Engineering team while developing a deeper, first-hand understanding of how the Advertising Sales business intersects with Disney Entertainment and ESPN

Skills

Key technologies and capabilities for this role

Data ScienceData EngineeringPythonSQLScalable Data ProcessingProduction CodePredictive ModelingData ProductsEnterprise Code Collaboration

Questions & Answers

Common questions about this position

What skills are required for the Data Science Engineering Graduate Intern position?

Required skills include course or project-based experience developing code to manipulate data (SQL and Python preferred), basic data engineering concepts (ETL, ELT), ability to communicate technical concepts to technical and non-technical audiences, and being a highly engaged, ambitious problem solver who is self-motivated, eager to learn, and collaborative.

What education is required for this internship?

Candidates must be currently enrolled in an accredited graduate program in Computer Science, Data Science, Information Systems, or Software.

Is this a remote position or does it require office presence?

This information is not specified in the job description.

What is the compensation for this intern role?

This information is not specified in the job description.

What does a strong candidate for this role look like?

A strong candidate is currently in a graduate program in a relevant field, has hands-on experience with SQL, Python, and data engineering concepts like ETL/ELT from coursework or projects, excels at communicating technical ideas, and demonstrates ambition, self-motivation, eagerness to learn, and collaborative spirit.