Summer Paid Intern - Data Science

This is a Full Time Paid Internship

What You Will Do:

As a Data Science Intern on the Disney Entertainment (DE) Research, Insights & Analytics team, you'll support the development, evaluation, and ongoing improvement of predictive models that inform advertising and audience dynamics across Disney's television networks and DTC streaming services (Disney+, Hulu, ESPN+). Primary focus will be viewership and impressions forecasting-built in partnership with Linear and Digital forecasting teams-to optimize Ad Sales yield and support the DTC and Linear P&Ls.

In this internship role, you'll contribute by preparing data, validating model outputs, and building machine learning-powered data products in collaboration w/ more senior team members. You'll help extend this work into cross-media measurement and activation by producing clear, repeatable analyses, models, and pipelines --and communicating findings with appropriate support. You'll also

gain experience contributing to production-level data-science pipelines and monitoring (clean, well- tested Python/SQL; versioning, and QA) with mentorship and established team standards.

You'll responsibly leverage AI-assisted workflows to improve quality, speed, and depth of analysis- validating outputs before use and following privacy/governance standards.

Required Qualifications & Skills
• Working knowledge of SQL and Python for data analysis (e.g., pandas, numpy); ability to apply
• standard ML libraries (e.g., scikit-learn).
• Academic, project, or internship experience applying predictive modeling concepts (e.g.,
• regression, basic time series, tree-based methods, clustering) and interpreting results.
• Familiarity with Git and collaborative development practices (branching, pull requests, code
• review etiquette).
• Familiarity with data visualization tools and/or lightweight apps (e.g., Tableau, plotly,
• Streamlit) and an interest in building clear, stakeholder-friendly outputs.
• Ability to communicate clearly with technical and non-technical audiences; comfort asking
• questions and iterating based on feedback.
• Natural curiosity; openness to learning new technologies and methods; willingness to accept
• coaching and incorporate best practices.
• User/Client orientation; strong interpersonal skills that build trust across teams.
• Comfort with messy data and flexibility in dynamic environments.
• Interest in using AI-assisted workflows with validation.

Preferred Qualifications & Skills
• Experience with ETL, data pipeline management, and cloud infrastructure for managing large amounts of data (e.g. AWS, PySpark, Snowflake, Airflow, Databricks).
• Experience using web frameworks (Django) and JavaScript libraries (ReactJS, JQuery) to build frontend and backend web applications focused on user experience.
• Experience building internal tools that help teams operationalize analytics (e.g., small Streamlit/Gradio utilities, scheduled batch jobs).
• Exposure to managed LLM/AI services inside analytics platforms is a plus.

Education:
• Junior or Senior year preferred
• Major or previous coursework in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Cognitive Science, or equivalent substitute.

Eligibility Requirements & Program Information:
• Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program 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: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program.
• Be at least 18 years of age
• Possess unrestricted work authorization