National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist II, PLS Analytics

Expedia Group
London
3 days ago
Create job alert

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 II, PLS Analytics

Introduction to team

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.


We’re seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You’ll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own analytical initiatives—whether that’s steering a focused workstream or developing innovative data products.

In this role, you will:

  • Independently extract data from multiple sources, combining them into required datasets for model building or analytics

  • Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses

  • Utilize business acumen and technical knowledge to select appropriate techniques/designs for answering business questions (e.g., AB testing, pre/post analysis, counterfactual inference)

  • Create clear visualizations that support data stories and enhance audience understanding through presentations and executive summaries

  • Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners

  • Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings

Experience and qualifications:

  • Masters, or Bachelors with 4 years work experience OR 5+ years of experience in a comparable data analytics role with relevant experience

  • Proven track record of delivering data-driven insights and recommendations that drive change or performance improvements across various projects using different analytics techniques

  • Experience delivering analytics projects across different business areas, demonstrating strong business acumen

  • Proficiency in probability and statistics

  • Advanced SQL skills, querying tools (e.g. qubole/big query/hadoop), and concepts such as Store Procedures, Cursors and Temp tables.

  • Proficiency in Python (knowledge of R is also welcome)

  • Expertise in Tableau

  • Strong data visualization skills for communicating results to stakeholders of varying technical levels

  • Solid understanding of business acumen

  • Basic knowledge of machine learning concepts and approaches

#LI-SV1

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 .

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 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.

Related Jobs

View all jobs

Data Scientist II

Data Scientist II, Data Scientist II - AOP Team

Data Scientist II

Data Scientist

Data Scientist

Applied Scientist II - Computer Vision

National AI Awards 2025

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.

Jobs

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Jobs

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.