Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist III, Analytics - Platform Analytics

Expedia, Inc.
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Senior

Senior Data Scientist: AI Evaluation & Governance

Senior Data Scientist- AI Evaluation

Senior Data Scientist: AI Evaluation & Governance

Software Engineer III - MLOps

Software Engineer III - MLOps

Overview

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 flexible work model (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.

Data Scientist III

Introduction to team

The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.

We are looking for an experienced Data Scientist to join the Platform Analytics team that is working on Performance.

As a Data Scientist, you will help identify insights to improve the traveler experience and drive product growth. You will collaborate with a multi-disciplinary team on a wide range of problems. You will bring scientific rigor and statistical methods to the challenges of business growth and product development.

What you\'ll do:

  • You will be expert with SQL, Python or R. Any other major machine learning programming language is a nice to have.
  • You will design complex experiments and apply common methods such as linear and nonlinear regression, and multivariate analysis.
  • You will display advanced domain knowledge (e.g., travel, online retail), business acumen (understanding the underlying business objectives) and critical reasoning skills.
  • You will know and apply data visualization principles consistently, resulting in clear and consistent outcomes.
  • You will influence action and results through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative, be concise, present clearly and engagingly, and anticipate questions.
  • You will frame Expedia\'s most complex business problems as analytics problems with a concrete set of analytical tasks.
  • You will automate repeatable work to improve efficiency and scalability.
  • You will provide guidance and coaching to other team members on statistical techniques.

Who you are:

  • University degree in Mathematics, Statistics, or Engineering with 2–4 years of work experience or 4+ years in a comparable data analytics role with relevant experience.
  • A high performing individual contributor who consistently applies — and sometimes enhances — the analytics capabilities, principles and playbooks to solve complex business issues and opportunities.
  • Develops and drives significant and sustained change and performance improvement from data-driven insights in a number of different areas or contexts.

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.