Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and validation of innovative product experimentation methodologies.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, generous time-off, flexible work, and career development resources.
- Why this job: Shape the future of travel with cutting-edge statistical methodologies and impactful experiments.
- Qualifications: Bachelor's degree in a quantitative field and hands-on experience with A/B testing.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 ÂŁ 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.
About the Role Are you passionate about experimental design, causal inference, and bridging the gap between statistical theory and real-world impact? We are looking for a Data Scientist specialising in experimentation science to lead the design and validation of our product experimentation methodologies.
This is not a generic data scientist or analyst role. We are seeking someone who:
- Has led the design, validation, and scaling of statistical methodologies for controlled experiments (not just “run A/B tests”)
- Excels at building or adapting frameworks for hypothesis testing, simulation, and error control in noisy, messy, production environments
- Can clearly explain experiment design, trade-offs, and findings to technical and non-technical stakeholders alike
- Brings scientific rigour and pragmatic creativity to complex, ambiguous challenges
What you will do
- Own the experimental methodology: Design, implement, and validate statistical frameworks for A/B and controlled experiments, including novel approaches for challenging business problems and partial compliance data
- Develop and evaluate simulation frameworks: Use Monte Carlo, bootstrapping, or other simulation methods to estimate power, sensitivity, and error rates of experimentation workflows before they go live
- Translate results for action: Communicate assumptions, trade-offs, and experiment outcomes (including limitations and risks) to engineers, product leaders, and business partners—regardless of statistical background
- Advance the discipline: Drive integration of new methods—from Bayesian inference and sequential testing to causal modelling—into our real-world experimentation platform
- Foster data-driven culture: Coach partners on statistical best practices, experimental design, and quality control
Minimum Qualifications
- Bachelor’s degree or higher in Statistics, Mathematics, Biostatistics, or a highly quantitative field—strong foundation in statistical theory is essential
- Demonstrated, hands-on experience designing (not just running) A/B or controlled experiments in production or business environments
- Direct experience with statistical methodologies, such as hypothesis testing, confidence intervals, error rate control, and handling biases/confounders
- Proficiency in at least one language for statistical analysis (Python, R, or PySpark), with the ability to develop and implement simulation or analysis frameworks
- Track record of clear, effective explanation of statistical concepts and results to non-technical and technical partners alike
- Proven ability to own projects end-to-end and influence product or business decisions
Preferred Qualifications
- Advanced degree (PhD or MSc) in Statistics or related field with an applied experimentation component
- Experience building or evolving experimentation tools/platforms (not just using off-the-shelf products)
- Experience with causal inference, Bayesian methods, or sequential/online testing in industry settings
- Publications, open-source contributions, or professional presentations on experimentation/statistics topics
- Prior experience in travel, marketplace, or e-commerce experimentation environments
What makes you successful in this role? You thrive when you:
- Build new experiments from scratch and justify your methodological choices (rather than re-running legacy designs)
- Prioritise explanation and impact over jargon and buzzwords
- Translate statistical nuance for audiences at all levels, keeping communication as rigorous as your analysis
- Love collaborating in interdisciplinary teams and value transparency and scientific integrity.
Data Scientist in City of London employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data scientists on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation projects, A/B tests, and any cool statistical methodologies you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical concepts and experiment design. Be ready to discuss your past experiences and how you tackled complex challenges. Practice explaining your work to both technical and non-technical audiences.
✨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 awesome team at Expedia Group.
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Experimentation: When writing your application, let your enthusiasm for experimental design and statistics shine through. Share specific examples of how you've tackled complex challenges in the past, and don't shy away from showcasing your creativity in problem-solving.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and gets straight to the point. Use straightforward language to explain your experience with A/B testing and statistical methodologies, so both technical and non-technical folks can understand your impact.
Tailor Your Application: Take the time to customise your application for this role. Highlight relevant experiences that align with our needs, especially your hands-on work with controlled experiments and statistical frameworks. This shows us you’re genuinely interested in joining our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Expedia Group
✨Know Your Experimental Methodologies
Make sure you brush up on your knowledge of experimental design and statistical methodologies. Be ready to discuss your experience in designing, validating, and scaling experiments, not just running them. Prepare examples that showcase your ability to tackle complex problems with innovative solutions.
✨Communicate Clearly and Effectively
Since you'll need to explain your findings to both technical and non-technical stakeholders, practice simplifying complex statistical concepts. Use clear language and avoid jargon. Think about how you can translate your results into actionable insights that everyone can understand.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in statistical analysis languages like Python or R. Have examples ready where you've developed simulation frameworks or conducted hypothesis testing. This will show that you can apply your theoretical knowledge in real-world scenarios.
✨Emphasise Collaboration and Culture Fit
Expedia values a diverse and collaborative environment, so highlight your experience working in interdisciplinary teams. Share examples of how you've fostered a data-driven culture and coached others on best practices. This will show that you align with their values and can contribute positively to their community.
