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About the Role
As an Applied Science Intern in the Expedia Group 2027 Global Summer Internship Program, you will fully integrate into our inclusive community and gain a well-rounded experience. This global program offers an exciting opportunity to contribute to business-critical projects by developing your skills through tailored learning and training, providing ongoing support, and offering insightful intern-specific events to build knowledge and community. You will make an immediate impact on reimagining the way people search for travel by inventing brand-new techniques to power global travel for everyone, everywhere.
Responsibilities
- Design, prototype, and evaluate machine learning models under the guidance of more experienced machine learning scientists, contributing to well-scoped research and product-focused experiments.
- Implement clean, maintainable model training and inference code using standard Software Engineering practices, including basic unit testing, code reviews, and reproducible experimentation workflows.
- Participate in low-level system design, API design, and data modeling for ML-powered features, learning how to translate product and data requirements into robust, production-aware ML solutions.
- Explore, analyze, and prepare data using fundamental statistical and ML techniques to improve model quality, robustness, and fairness, including feature engineering and basic error analysis.
- Collaborate with peers, mentors, data scientists, engineers, and product partners to understand problem spaces, define success metrics, and iterate on ML solutions that deliver measurable impact.
- Learn to work with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML-enabled solutions that improve outcomes within defined guidance and scope.
Requirements
- Must be available to commit to the full program dates: 21st June – 27th August 2027
- Must be graduating with an Master’s degree in a technical subject (e.g. Master’s degree in a technical, or analytical-related, subject such as Computer Science with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2027 and July 2028
- Must be willing to relocate to city of job location if outside commuting distance
- Must have Python and/or Scala, SQL knowledge
- Must have no more than 2 years' professional experience
- Must be graduating from university in the same country of internship location
Skills
- Python
- Scala
- SQL
- Regression
- Naïve Bayes
- Deep Learning
- Gradient Boosting
- Random Forests
- SVMs
- Neural Networks
- R
- Java
- Hive
- Distributed file systems
- Scalable datastores
- Distributed computing
- Spark
- Hadoop
- MapReduce
- AWS
- Communication
- C++
- Microsoft SQL Server
Location
- London
Work Type
- Hybrid
Experience Level
- Internship
Education Level
- Master's degree
Salary/Compensations
- £48,000 pro rata
Benefits
- Competitive compensation package
- Travel discounts
- Opportunity to receive a full-time permanent offer after graduation
- 12 months of customized support from our Emerging Talent & Careers team
- Community support through Expedia Group’s Inclusion Business Groups
- Relocation support (if eligible)
About the Company
- Expedia Group helps travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.