Sabre | Data Science Engineer - 2025 Summer Intern

Sabre is a trusted employer partner of Blackstone LaunchPad and a Blackstone portfolio company. To learn more, please visit https://www.sabre.com/careers/ 

Please apply directly to the role on their site and indicate that you are affiliated with/learned of the opportunity through Blackstone LaunchPad.

Blackstone LaunchPad is committed to equipping primarily first generation and low-income college students with career skills and exposure for career success. Learn more here. The Blackstone LaunchPad Summer Internship Program connects students to meaningful opportunities with LaunchPad employer partners, including Blackstone portfolio companies. Please note all hiring and employment-related decisions, including compensation and the terms and conditions of employment, are made by each applicable company. Students are encouraged to conduct their own research and diligence on each employer and on any internship opportunity offered by any employer.

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Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel. 

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

Sabre is seeking a talented Data Science Engineer Intern to support the Sabre Labs Team. Sabre Labs is a travel and technology innovation lab exploring capabilities that will impact travel over the next decade. Through research, model development, deployment, and communication, Sabre Labs strives to make the future real for our businesses and customers. The Data Science Engineer applies expert-level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in the airline industry. As an intern in the Sabre Labs Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences, including internal clients, sales, and development teams. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in Python, bash, goLang, etc, and develop and apply data mining and machine learning algorithms for advanced analysis and prediction.

Role and Responsibilities:

Work with subject matter experts to solve prediction/forecasting/optimization problem at hand.

Assess the effectiveness and accuracy of data sources, data gathering and forecasting techniques.

Develop custom data models and algorithms to apply to data sets and run proof of concept study.

Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.

Collaborate with software engineers to implement and test quality code for forecasting and data analytics models.

Develop processes and tools to monitor and analyze data accuracy and models’ performance.

Conduct logical analysis of moderate to very complex management problems and information systems and formulate mathematical models for the resolution of real-world problems.

Prepare written technical reports to management indicating a solution or range of possible alternatives in rank of desirability and probability of success when there is no single resolution.

Qualifications and Education:

Currently pursuing an MS/PhD in Statistics, Operations Research, Computer Science, Machine Learning, or related Quantitative disciplines, graduating in December 2025 or May 2026.

Adhere to a hybrid work schedule by reporting to Southlake, TX headquarters Tuesday through Thursday for the entire 12-week internship.

Proven ability to apply modeling and analytical skills to real-world problems.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

Solid programming skills with knowledge of Python GO or C++.

Experience with deployment of machine learning and statistical models on a cloud and leveraging services in GCP.

Understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.

Reasonable Accommodation

Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre at recruiting@careers.sabre.com.

Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Affirmative Action

Sabre is an equal employment opportunity/affirmative action employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW