Data Scientist III, Analytics (B2B Supply Optimisation)

Expedia, Inc.
London
2 days ago
Create job alert

within the world's biggest travel company. We build the tools and technology that help millions of travelers find the perfect hotels for their next trips. We are the largest and fastest‑growing travel affiliate network, working with over 10,000 partners in 33 countries to turn their web traffic into hotel bookings and loyal customers.


The Analytics Manager (B2B Supply Optimisation)

This person will primarily be responsible for driving supply optimization initiatives to enhance competitiveness and accelerate revenue growth for Expedia's multi‑billion‑dollar B2B business. Key responsibilities include developing insights and recommendations related to supply optimisation, building clean reporting suites and scalable tools from new data‑sets, and working cross‑functionally to implement strategic initiatives and drive impactful change in the organisation. This person will work closely with other functions including Supply Strat Ops, Data Science and Product, as well as the broader analytics organisation at B2B.


What you will do:

  • Drive proactive opportunity identification related to supply optimisation for Expedia's B2B business
  • Develop new reporting suites that are clear and actionable, based on new and innovative data‑sets
  • Provide recommendations to executive leadership team on supply gaps and suggested business priorities, based on expected opportunity size
  • Evaluate impact and learnings from any initiatives implemented
  • Build and manage relationships with a wide range of stakeholders across geographies and functions working on the same topic

Who you Are:

  • Experienced Analyst: Senior Business Analyst or Data Scientist with 5+ years of experience solving strategic and business problems, and you have a strong track record in project management.
  • Technical Expertise: Excellent SQL skills (Teradata, Presto, Hive), coding ability in Python or R, solid understanding of statistics and probability.
  • Data & Testing Skills: Confident working with large datasets, able to clean, analyse, and independently articulate hypotheses to uncover insights and anomalies. Experience with A/B testing and bootstrapping.
  • Visualization & Reporting: Skilled in using Tableau and other data visualization tools to create clear, impactful reports.
  • Communication Strengths: Communicate complex analysis effectively, tailoring messaging to suit different audiences.
  • Educational & Industry Background: Degree in a quantitative field, fluent in English, ideally experience in online travel or other data‑intensive tech environments.

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.


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.


Equal Employment 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist - Senior

Senior Data Scientist: AI Evaluation & Governance

Senior Data Scientist- AI Evaluation

Senior Data Scientist- AI Evaluation

Senior Data Scientist: AI Evaluation & Governance

Software Engineer III - MLOps

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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.