Universal Destinations & Experiences Internship Program:

• Applications Close: June 26^th, 2026, at 11:55PM ET. Submit your application as soon as possible – don’t delay!
• Spring 2027 Program Dates: Approximately January 2027 – April 2027

JOB SUMMARY:

The Data Scientist Intern will be part of UDX's Global Pricing Analytics team. The intern will train under the guidance of a data scientist in price optimization for admissions. The intern will learn end-to-end (systems, models, processes, and business) how admission prices are optimally generated and implemented.

MAJOR RESPONSIBILITIES:

• Learns the process, systems, models, and business rules in the optimization of admissions pricing at Universal Destinations & Experiences.
• Prototypes models for forecasting demand and optimizing prices of admissions.
• Creates forecasting models at the optimal level of disaggregation and fine-tunes regressors/parameters for optimal accuracy.
• Creates optimization models in dynamic programming and fine-tunes parameters for generating actionable price recommendations.
• Conducts data analysis and identifies pricing strategies to generate incremental revenue.
• Constructs hypotheses to test pricing strategies and implements, measures, and reports on pricing tests.
• Practices programming skills in Python, SQL; working with Tensorflow, Prophet, SciPy, NumPy libraries; working in AWS, Snowflake.
• Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.
• Performs other duties as assigned.

MINIMUM QUALIFICATIONS:

• In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or graduate student.
• Minimum cumulative 2.8 GPA is required.
• A transcript is required upon application.

PREFERRED SKILLS & KNOWLEDGE:

• Preferred majors include: Operations Research, Statistics, Data Science, or similar.
• Preferred coursework completed: Linear Programming, Mixed-Integer Programming, Probability, Statistics, Machine Learning, or similar.
• Preferred modeling skills in forecasting and optimization.
• Familiarity with Revenue Management, Dynamic Programming, Price Elasticity of Demand, Tensorflow, Prophet, SciPy, NumPy, AWS, Azure, Snowflake, PowerBI, and/or Excel

Please note the following:

• This internship will be an in-person experience, based in our Orlando offices.
• Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.
• Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
• All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.

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