The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Experiences, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and implement strategies to enhance profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
The Decision Science team builds innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise!
Interns make an impact by supporting innovative mathematical modeling to advise data-driven decision-making across many lines of business. As an intern, you will help in this process by:
Performing data preparation, exploration, validation, and reporting tasks for various business analytics systems and applications
Supporting the analysis, validation, and maintenance of machine learning and optimization models
Supporting the development and exploration of departmental modeling infrastructure
Learning relevant analytical methods and industry subject matter areas
Conducting guided modeling and analysis of revenue management, pricing, marketing, finance, and other business decisions using various mathematical, statistical, and simulation techniques
Experience and/or coursework in scripting and data analysis in programming languages such as Python, R, or SQL
Familiarity with standard modeling tools and methodologies in one or more of the following: forecasting, probability and uncertainty, machine learning algorithms, natural language processing, simulation, mathematical optimization, causal inference, econometrics, quantitative economics, or other analytical area
Experience and/or coursework performing data preparation, exploration, validation, and visualization tasks
Experience and/or coursework gathering, analyzing, and interpreting data and reporting on the results
Strategic problem-solving & analytical skills
Strong organizational and time management skills with attention to detail
Willingness to learn new analytical methodologies, software applications, and tools
Familiarity with Tableau, PowerBI, or other data visualization software
Familiarity with Excel, Word, and PowerPoint
Exposure to solving business problems using data and analytics in areas such as revenue management, pricing, marketing, finance, supply chain, or other business analytics
Currently enrolled as a Junior or Senior pursuing a bachelor’s degree in an analytical field including in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Economics, Computer Science or other STEM related field at an accredited college or university.
Candidates for this opportunity MUST meet all the below requirements:
Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program 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
The approximate dates of this internship are June 2025 through January 2026
Able to provide/have reliable transportation to/from work
Fully available from Monday-Friday for the duration of the internship, 40 hours per week
We provide limited housing opportunities for Florida-based Professional Interns through American Campus Communities, for more information click .
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