Machine Learning Science Graduate - PhD - 2026 - London
Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge technology 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 we all win together. We provide a full benefits package – including travel perks, generous time‑off, parental leave, a flexible work model, and career development resources – to fuel our employees’ passion for travel and ensure a rewarding career journey.
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!
* Applying statistical methods such as confidence intervals, point estimates and sample size estimates to make sound inferences on data and A/B tests.
* Applying natural language models to Google keyword analysis and creating meta models for our multi‑objective ranking problem.
* Communicating complex analytical topics in a clean and simple way to multiple partners and senior leadership.
* Conducting feature engineering and modifying existing models/techniques to suit business needs.
* Developing domain expertise in fraud and risk to detect risky transactions.
* Modeling rich and complex online travel data to understand, predict and optimise business metrics for the traveler experience.
* Framing business problems as data science problems with a concrete set of tasks.
* Applying your domain knowledge, business acumen and critical reasoning skills to your work.
Minimum Requirements
* Must be available to start in 2026.
* Must be graduating between 2025 and July 2026 with a PhD in a technical or analytical subject such as Computer Science (focus on AI, ML, NLP, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering.
* Must be willing to relocate to the city of the job location if outside commuting distance.
Preferred Experience
* Familiarity with ML techniques such as Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP.
* Experience with programming, statistical, and query languages such as Python, R, SQL/Hive, Java.
* Knowledge of distributed file systems, scalable datastores, and distributed computing technologies (Spark, Hadoop, MapReduce, in‑memory data processing).
* Experience with cloud computing, particularly AWS, in a distributed computing context.
* Strong communication skills to engage internal, external, technical and non‑technical partners.
What We Offer
* £70,000 annual base salary.
* Hybrid work policy.
* Travel discounts.
* Medical, dental, and vision insurance options.
* Travel and wellbeing reimbursement.
* Restricted Stock Units.
Next Steps
Apply now! Our dedicated early‑career team will review your application and encourage suitable applicants 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 technical and behavioural skills related to the position. These interviews will also give you a chance to learn more about us.
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 link.
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.
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