Data Scientist II, Search Marketing Analytics

Expedia Group
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist II, RufusX Science UK

Data Scientist II

Data Scientist II

Data Scientist II - QuantumBlack, AI by McKinsey

Data Scientist II, PLS Analytics

Data Scientist II - QuantumBlack Labs

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, Search Marketing Analytics

Introduction to team

This role will be part of the Marketing Measurement Analytics team, which sits as part of the wider Marketing Analytics team. The team looks for curious and hard-working individuals, with strong statistical and analytical backgrounds, to support in understanding and optimizing Search Marketing channels. This role sits at the center of a very exciting space – as traditional search evolves, AI channels rapidly expand & customer preferences change. This team helps ensure EG captures it’s share of efficient traffic.

In This Role You Will

  • Work closely with other highly-skilled data scientists across Expedia Group, partnering with digital marketing teams along with colleagues across Capital Allocation, Finance, and Product.
  • Apply your knowledge with SQL, Python or R, or any other major ML programming language
  • Understand business requirements and problems and find analytical solutions to solve or support them.
  • Constantly assess the status quo, find and discuss opportunities for optimisation, simplification and acceleration of current processes.
  • Clearly and confidently articulate decision-making rationale, solutions, methodologies and frameworks to team members and both technical and non-technical partners
  • Partner with cross-functional teams like Global markets, Business units, Marketing Channels, and Finance to increase the adoption of the team insights
  • Create a feedback loop with marketing teams to use campaign insights to inform future campaign planning and spend optimization
  • Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that tackle the objective, not the ask

Experience And Qualifications

  • You have a Bachelor's, Master's or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. driving significant and sustained change and performance improvement from data-driven insights)
  • You have strong SQL skills, along with proficiency and experience in coding with R or Python
  • You have proven experience in marketing and data analytics, marketing returns and/or Search marketing channels
  • Good knowledge of statistical modelling techniques (previous experience in predictive analytics is a strong plus)
  • Excellent analytical problem-solving skills and can-do attitude
  • Ability to communicate sophisticated concepts concisely and clearly
  • Display strong domain knowledge, business acumen and critical reasoning skills
  • You are comfortable tackling sophisticated analytical and business problems

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.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.