layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Decision Science Undergraduate Intern, Spring 2027 at Walt Disney | LAYIQ

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
Required Qualifications & Skills
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 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
Experience and/or coursework in scripting and data analysis in programming languages such as Python, R, or SQL
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
Education
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.
Eligibility Requirements & Program Information
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
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
Additional Information
The approximate dates of this internship are January through June 2027
Able to provide/have reliable transportation to/from work
Fully available from Monday-Friday for the duration of the internship, 40 hours per week
Florida Housing
We provide limited housing opportunities for Florida-based Professional Interns through American Campus Communities, for more information click here .
The pay rate for this internship in Florida is $42 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: https://jobs.disneycareers.com/benefits.
Job Posting Segment: Enterprise Technology and Data
Job Posting Primary Business: Decision Science & Integration
Primary Job Posting Category: Technology Intern
Employment Type: Full time
Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA

Decision Science Undergraduate Intern, Spring 2027

Employer job description

Job Posting Title:

Req ID:

Job Description:

About the Role & Program

What You Will Do

Alternate City, State, Region, Postal Code:

Date Posted:

About this listing