Data Scientist II, Marketing Analytics
United Kingdom - London
Technology
Full-Time Regular
09/25/2025
ID # R-98252
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.
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 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.
Introduction to team
The Traveler Business Team has a mission to deliver the most convenient, rewarding, and memorable ways for people to travel and explore the world. This division has responsibility to build and drive the growth of our global consumer business across our Expedia, Hotels.com, Vrbo, and Portfolio brands, and across all our lines of businesses including Hotels, Vacation Rentals, Air, Car, Packages, and Insurtech.
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 devising, developing and maintaining methods and tools that use a multitude of insights to help optimize capital allocation.
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 tackles 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.
* 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.
* 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.
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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.
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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