Data Scientist III (Senior)

Last updated 33 minutes ago
Location:Greater London
Job Type:Full Time

Are you up for your next challenge where you can really flex your skills in Data Science and Machine Learning? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of travel technology, bringing the world within reach for millions of people?

Expedia Group continues to grow our Data Science team! We are looking for a Senior Data Scientist to use Machine Learning to optimize and enrich our content on our travel platform across Expedia Group.

This key role involves building algorithms to solve high-impact, sophisticated problems using cutting-edge technology and approaches while working in a diverse team environment.

If you are passionate in using Data Science and Machine Learning to build data powered products, tackle challenging problems and are seeking a high-profile role in which you’ll be able to directly impact millions of our customers and partners around the world, this could be the role for you!


  • MSc or PhD degree in any of the following fields: machine learning or computer science, computer vision, mathematics with strong machine learning component;

  • 3+ years hands on experience in machine learning in production, building datasets, selecting and engineering features, building and optimizing algorithms;

  • Experience in some of the following domains: Computer Vision, NLP, Deep Learning, Learn-to-Rank, Recommender Systems, Regression, Classification, Clustering;

  • Experience with machine learning packages such as TensorFlow, PyTorch, Keras, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Spark MLlib, etc.;

  • Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;

  • Good data manipulation skills required including cleaning and managing data;

  • Good programming practices, ability to write readable, fast code.;

  • Intellectual curiosity and desire to learn new things, techniques and technologies


  • Build, deploy and optimise machine learning models which support our content acquisition, enrichment and relevance activities;

  • Work in close partnership with Content, Product, Data and Technology teams to identify solutions for Data Science problems and contributing to the timely delivery of key projects;

  • Contributing to our data and ML infrastructure to help the whole team work more effectively


Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.

Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground, so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

If you have a desire to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

Our family of travel brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Egencia®, trivago®, VRBO®, Orbitz®, Travelocity®, Wotif®,®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions,™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.

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.