Machine Learning Scientist Intern - Masters - June 2025 - London

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

*Note: Applications will remain live for at least 5 business days when the role is posted. The post will be removed when application targets are met.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

By joining the Expedia Group 2025 Global Summer Internship Program as a Machine Learning Science Intern you’ll fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. Our 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. We’re building a more open world. Join us.

Internship Program Highlights:   

Onboarding:Connect with your cohort, receive support, and set up for success in your first week

Intern Bootcamp: Role-specific technical and professional skills learning, both in-person and virtual, delivered in your first week to help you get set up for success

Meaningful work and projects: Interns join a variety of Expedia Group teams and directly contribute to business workstreams and priorities; at the conclusion of the internship interns present their work to team members and senior leadership

Learning Series: Interactive workshops delivered by our Learning team to build professional & soft skills, and support development, including topics such as personal branding and presentation skills

Leadership Series: Exclusive intern-only events with our Travel Leadership Team leaders to learn about their career journeys, hear their views on industry and company trends and ask questions!

Social events: Regular fun events organized for each regional cohort so you can get to know others, enjoy the Expedia Group culture, and enjoy some downtime!

Mentorship: Mentors are assigned to each individual intern to support your development and learning throughout the program and are also a great way to build your understanding and network at EG.

Support: Coaching and advice, provided by managers, team navigators (buddies) and a specific point of contact per region from Emerging Talent & Careers.

What You’ll do:

Travel is so much more than simply reaching your destination. Along the way you will make an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group - the sky’s the limit!   

Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests 

Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem 

Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)  

Conducting feature engineering and modifying existing models/techniques to suit business needs 

Developing domain expertise in fraud & risk to understand how to detect risky transactions 

Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience  

Framing business problems as data science problems with a concrete set of tasks  

Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work 

Who You Are:

We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled ‘Must’ and are interested in this role, we encourage you to apply! 

Must be available to commit to the full program dates: June 23-August 29, 2025

Must be graduating with a 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 2025 and July 2026

Must bewilling 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

Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks 

Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java  

Helpful to have understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.  

Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context 

Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people) 

Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge 

What We Offer:

Successful candidates will receive a competitive compensation package including the benefits below and others:

48000 GBP (pro-rota)

Hybrid Work Policy

Travel discounts

Opportunity to receive a full-time permanent offer after graduation and 12 months of customized support from our Emerging Talent & Careers team

Community support through Expedia Group’s Inclusion Business Groups

Relocation support (if eligible)

Next Steps:

Apply now! Our dedicated emerging talent & careers team will review your application and suitable applicants will be encouraged to complete an immersive strength based online assessment as the first step. Depending on the role profile you are applying to, selected candidates may also be asked to take a skills-based screening assessment.

Candidates who are invited to a final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position. These interviews will also be a chance for you to learn more about us, too!

Our Commitments:

Expedia Group 2023 Global Impact Report

Expedia Group has made commitments that we hope will propel us forward on the path to progress, including our aspirational hiring goal for women to occupy 50 percent of roles at all levels by the end of 2025.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.