At a Glance
- Tasks: Deliver advanced analytics and decision science solutions to shape the future of travel.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, generous time-off, flexible work, and career development resources.
- Other info: Be part of a diverse community that celebrates differences and fosters collaboration.
- Why this job: Make a real impact on travel experiences while working with cutting-edge technology.
- Qualifications: 3-5 years in data science, strong analytical skills, and proficiency in SQL and Python.
The predicted salary is between 60000 - 80000 £ 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.
A senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA’s commercial objectives. This role focuses on:
- Advanced reporting and dashboarding for SPA stakeholders
- Statistical analysis and experimentation (including incrementality testing)
- Partner, client, and overall commercial performance analysis
- Analytical support for leadership discussions and investment decisions
- Building and maintaining decision science tooling, including AI‑enabled workflows and automations
A Data Scientist III at Expedia is expected to work independently on complex, well‑defined problems, apply sound judgment in selecting analytical approaches, and influence decisions through high‑quality insights and storytelling. While this role does not manage people, it plays a meaningful role in shaping how data is used across the SPA organization.
Key Responsibilities
- Advanced Reporting & Analytics
- Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders.
- Ensure analytical outputs are accurate, scalable, and aligned with agreed commercial KPIs.
- Proactively identify improvements in reporting structure, clarity, and usability.
- Experimentation & Statistical Testing
- Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi‑experimental analyses.
- Select and apply appropriate statistical methods to evaluate causal impact and commercial effectiveness.
- Clearly document and communicate methodology, assumptions, results, and implications for decision‑making.
- Commercial & Partner Performance Analysis
- Perform in‑depth analyses of partner and client performance to identify drivers of growth, underperformance, and opportunity.
- Analyze overall SPA commercial performance to surface trends, risks, and actionable insights for leadership.
- Collaborate with commercial and finance partners to interpret results and align on conclusions.
- Decision Support & Investment Analytics
- Deliver analytical insights to support prioritization and investment decisions discussed with the SPA Leadership Team.
- Build scenario analyses, forecasts, and frameworks that inform trade‑offs and expected returns.
- Act as a trusted analytical partner in commercial discussions, grounding recommendations in data and evidence.
- Decision Science Tooling & Automation
- Build, maintain, and iterate on decision science tools, models, and reusable analytical assets.
- Contribute to AI‑powered workflows and automations that improve analytical efficiency and scalability.
- Identify repeatable analytical processes that can be standardized or automated.
Scope & Level Indicators (Data Scientist III)
- Works independently on complex analyses with limited oversight.
- Owns analytical delivery for defined problem spaces or business areas within SPA.
- Influences stakeholders through insight quality, clarity, and commercial relevance.
- Applies established data science, statistical, and experimentation techniques confidently.
- May mentor or review work of more junior analysts, without formal people‑management responsibility.
- Contributes to improving analytics practices and tooling, without owning org‑wide analytics strategy.
Qualifications
- Experience
- Typically 3–5+ years of experience in data science, analytics, or a related quantitative role.
- Bachelor’s degree in a quantitative field such as Analytics, Economics, Computer Science or equivalent professional experience. Master’s degree a plus.
- Experience in e‑commerce, marketplaces, marketing analytics, or partner‑driven businesses strongly preferred.
- Technical & Analytical Skills
- Advanced SQL with experience working on large, multi‑source datasets.
- Strong foundation in statistics, experimentation, and causal analysis.
- Proficiency with modern AI based coding tools (i.e. Claude Code).
- Proficiency in Python or R for analysis and modeling.
- Experience with data engineering, visualization, and dashboarding tools (e.g., Querybook, JupyterHub, Databricks, Tableau, Power BI, or similar).
- Business & Communication Skills
- Strong business judgment with the ability to translate analysis into commercial insights.
- Ability to communicate complex analytical findings clearly to non‑technical audiences.
- Comfortable engaging with senior stakeholders through data‑driven narratives.
- Demonstrates rapid adoption of new tools and techniques to increase speed to insights.
- Actively seeks and implements process improvements and automation to reduce analysis time.
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 Accommodation Request.
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.
Data Scientist III – Strategic Partnerships & Affiliates in London employer: Expedia, Inc.
At Expedia Group, we prioritise our employees' well-being and professional growth, offering a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, ensuring that every team member feels valued and empowered to contribute to shaping the future of travel. Join us in a role where your analytical expertise will directly influence strategic decisions and drive meaningful impact within a global leader in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III – Strategic Partnerships & Affiliates in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Expedia Group on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Scientist III role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss advanced SQL, statistical methods, and your experience with AI tools. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific examples of how you've tackled complex analyses or improved reporting structures in the past. Use storytelling to highlight your impact and how your insights drove decisions.
✨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, it shows you're genuinely interested in joining our vibrant community at Expedia Group.
We think you need these skills to ace Data Scientist III – Strategic Partnerships & Affiliates in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist III role. Highlight your experience in advanced analytics, experimentation, and decision science, as these are key to what we’re looking for at Expedia.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your proficiency in SQL, Python, or R, and how you’ve applied statistical methods to solve complex problems.
Communicate Clearly:Remember, we want to see how you can translate complex data into clear insights. Use straightforward language in your application to show us you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
How to prepare for a job interview at Expedia, Inc.
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in statistics and experimentation. Be ready to discuss your experience with A/B testing and causal analysis, as these are key components of the role.
✨Showcase Your Analytical Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, Python, and any dashboarding software. Bring examples of how you've used these tools to drive insights in previous roles, and be prepared to discuss your approach to building decision science tooling.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You’ll need to engage with senior stakeholders, so being able to tell a compelling story with your data is crucial. Think about how you can translate your findings into actionable business insights.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Prepare to discuss how you would approach a specific problem, what methods you would use, and how you would communicate your findings to influence decisions.