Applied Science Intern - PhD - 2027 - London

11360 Expedia Spain S.L.; Greater London; Híbrido; GBP 45 000 - 55 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Hybrid Work Policy

Travel discounts

Full-time offer after graduation

Relocation support

Inclusion communities

Resumo da oferta

Expedia Group in London offers an internship program focused on ML research. You will design and prototype ML models, work with data science teams, and contribute to real business priorities. The role includes mentorship, leadership exposure, and potential for a full-time offer after graduation. Hybrid work policy and relocation support are available.

The program targets PhD candidates in technical fields and emphasizes collaboration across engineers, data scientists, and product partners.

Qualificações

• Must be available to commit to the full program dates: 21st June - 27th August 2027
• Must be graduating with a PhD in a technical subject 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 be graduating from university in the same country of internship location
• Helpful to have experience with Python, R, SQL/Hive, Java
• Helpful to have cloud computing (AWS) and distributed systems knowledge

Responsabilidades

• Design, prototype, and evaluate ML models under guidance of more experienced scientists
• Implement clean, maintainable model training and inference code with testing and reproducible workflows
• Participate in low-level system and API design and data modeling for ML features
• Analyze data using basic statistics and ML techniques to improve model quality
• Collaborate with peers, data scientists, engineers, and product partners to define success metrics
• Explore AI-driven systems and apply AI/ML concepts to real-world products

Conhecimentos

Python

Scala

SQL

Java

R

C++

Spark

Hadoop

AWS

Formação académica

PhD in technical subject

Ferramentas

Spark

Hadoop

AWS

Descrição da oferta de emprego

Internship Program Highlights

Start strong from day one: Your first week is designed to help you build connections, settle in quickly, and get set up for success through cohort orientation, support, and structured onboarding.

Learn the skills that matter: You will take part in role-specific technical and professional skills learning, delivered through a mix of in-person and virtual sessions, to help you build confidence and capability from the start.

Work on meaningful projects: Interns join Expedia Group teams and contribute to real business priorities and workstreams. At the end of the internship, you will showcase your work to team members and senior leaders.

Grow beyond your day job: Our Learning Series includes interactive workshops focused on professional development and workplace skills, with topics such as communication and presentation skills.

Gain exposure to leaders: Through our Leadership Series, interns take part in exclusive events with Travel Leadership Team leaders to hear about their career journeys, learn more about the business, and ask questions directly.

Build your network and community: Participate in regular social events designed to help you build relationships, experience Expedia Group culture, and have fun along the way.

Receive dedicated mentorship: Every intern is paired with a mentor to support development, learning, and career exploration throughout the program, while also helping expand your network across Expedia Group.

Feel supported throughout the experience: Interns receive ongoing coaching and guidance from managers, team navigators, and a dedicated Emerging Talent & Careers contact, so there is always a strong support system in place.

In this role, you will

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! 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 across different product domains. 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.

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: 21st June - 27th August 2027
• Must be graduating with a PhD degree in a technical subject (e.g. PhD 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 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

• The compensation for this position in London is £50,000 pro rata for candidates with a PhD degree. As this is an intern role, this compensation is fixed.
• 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)

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

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.

Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

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.

Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group's ecosystem includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

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 about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is here.