📍 Local Job Near You
Internship – Data Scientist, Global Pricing Analytics (Spring 2027)
NBC Universal
📍
Orlando, United States
Location
Orlando
Posted
June 20, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
Universal Destinations & Experiences Internship Program:
+ Applications Close: June 26th, 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...
+ Applications Close: June 26th, 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...