Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use data to enhance travel experiences and drive member engagement.
- Company: Join a diverse and innovative team at Expedia Group.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Shape the future of travel while making a real impact with data.
- Qualifications: Basic knowledge of analytics principles and a passion for data.
The predicted salary is between 30000 - 40000 £ per year.
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 I – TEaL Analytics
Join TEaL Analytics at Expedia Group and use the power of data to shape how millions of travelers engage with our loyalty programs, incentives, and CRM marketing. As a Data Scientist I, Analytics you’ll partner with teams across the business to turn complex datasets into clear insights, experiments, and models that drive member growth, engagement, and smarter decisions.
What You’ll Do
- Apply analytics principles and team playbooks to solve well-defined business problems with close guidance and support from your manager.
- Extract, transform, and analyze data from multiple sources to build datasets for modeling, reporting, and deep-dive analysis.
- Design and execute simple experiments (e.g., A/B tests, pre/post, causal impact studies) to evaluate loyalty strategies, incentives, and CRM campaigns.
- Apply and interpret descriptive statistics and basic probability concepts (e.g., statistical significance vs. exploratory analysis, logistic regression outputs) to answer business questions.
- Build and interpret foundational models such as linear and logistic regression, understanding their assumptions and when they are appropriate for loyalty and marketing use cases.
- Create clear, inclusive visualizations and dashboards that communicate insights to both technical and non-technical audiences, following standard chart principles (e.g., labeling, titling, appropriate chart types).
- Collaborate with stakeholders to refine project goals, iterate on solutions, and deliver practical, data-driven recommendations.
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.
Data Scientist I, Analytics in London employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist I, Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Expedia Group on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews by practising common data science questions and scenarios. We recommend using real-world examples from your past experiences to showcase your skills and how you can contribute to the team.
✨Tip Number 3
Show off your passion for travel! When discussing your interest in the role, connect it back to your love for exploring new places and how data can enhance the travel experience for everyone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there, so keep checking back!
We think you need these skills to ace Data Scientist I, Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist I role. Highlight relevant skills and experiences that align with the job description, especially around analytics principles and data manipulation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about travel and data. Share specific examples of how you've used data to drive decisions or insights in previous roles, and connect it back to our mission at Expedia Group.
Showcase Your Technical Skills: Don’t forget to mention your experience with statistical models and data visualisation tools. We want to see how you can apply these skills to solve business problems, so be clear and concise about your technical expertise.
Apply Through Our Website: We encourage you to apply through our official website. It’s the best way to ensure your application gets to the right people and shows your enthusiasm for joining our vibrant community at Expedia Group.
How to prepare for a job interview at Expedia Group
✨Know Your Data
Before the interview, brush up on your data analysis skills. Be prepared to discuss how you've extracted and transformed data in past projects. Familiarise yourself with common statistical concepts like regression and A/B testing, as these will likely come up during your chat.
✨Showcase Your Visualisation Skills
Since you'll need to create clear visualisations, bring examples of your work. Whether it's dashboards or charts, be ready to explain your design choices and how they helped communicate insights effectively to different audiences.
✨Understand the Business Context
Research Expedia Group and its loyalty programmes. Understand their goals and challenges. This will help you tailor your answers to show how your skills can directly contribute to their success in driving member growth and engagement.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics and the types of projects you'll be working on. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.