Internship – Data Scientist, Global Pricing Analytics (Spring 2027)

• 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

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.

• →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.

• 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 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

• 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.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. 

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Advertised: Jun 11 2026 Eastern Daylight Time
Applications close: Jun 26 2026 Eastern Daylight Time

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