Data Scientist II, HEP Analytics

Expedia; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Expedia Group is seeking a Data Scientist II in Hotel Enterprise Partnerships Analytics within the Supply and Marketplace Analytics team. You will work with large datasets, analytics products, and cross-functional partners to explain performance and identify opportunities that improve margins, supply quality, and commercial decisions.

You will build scalable reporting and insight solutions while developing expertise in a global travel marketplace and collaborating with analytics, product, data,

Qualifications

• 2+ years of relevant experience in data science or analytics.
• Experience using SQL and Python/R to analyze, structure, transform, and visualize large datasets.
• Experience leveraging AI to speed up delivery and deepen analyses.
• Knowledge of probability, descriptive statistics, regression, and experiment designs (pre/post, A/B testing).
• Ability to blend data from multiple sources and build reusable code or data pipelines.
• Ability to explain methods and recommendations to non-technical stakeholders, up to Senior Manager level.
• Curiosity, critical thinking, problem-solving, and collaborative approach to ambiguous questions.

Responsibilities

• Frame business questions as analytical problems and propose practical approaches balancing quality, effort and time.
• Analyze data from multiple sources using SQL and Python/R; create datasets and basic pipelines.
• Develop data-driven insights and recommendations to support hotel partner discussions, commercial decisions, and supply quality.
• Apply descriptive statistics, regression, experimentation and causal analysis; explain assumptions and limitations.
• Create clear visualizations, dashboards, and executive summaries for stakeholders.
• Master latest AI productivity tools to enhance depth and trust in analyses.
• Collaborate with analytics, product, data, engineering and commercial partners and share knowledge.

Skills

SQL

Python

R

Data visualization

AI integration

Analytical thinking

Stakeholder communication

Data pipeline development

Education

Bachelor’s or Master’s in Mathematics/Statistics/CS or related technical field

Tools

Tableau/Power BI

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you’ll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Expedia Group brands power global travel for everyone, everywhere.
We design cutting-edge technology 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 we 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, 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.

Make an impact

The Data Scientist II, Hotel Enterprise Partnerships Analytics role sits within Expedia Group’s Supply and Marketplace Analytics organization. Our Hotel Enterprise Partnerships team helps strengthen relationships with hotel partners by turning complex data into clear insights that improve strategic margin revenue, supply quality, and commercial decision-making.
In this role, you will work with large datasets, analytics products, and cross-functional partners to explain performance, identify opportunities, and create recommendations that help Expedia Group and its partners grow. You will have the opportunity to build scalable reporting and insight solutions while developing your expertise in a global travel marketplace.

In this role, you will

• Frame business questions as analytical problems, break them into practical tasks, and recommend approaches that balance analytical quality, effort, and time.
• Analyze data from multiple sources using SQL and Python, R, or a similar language; create reliable datasets, reusable code, and basic data pipelines or workflows.
• Develop data-driven insights and recommendations that support hotel partner discussions, commercial decisions, supply quality, and performance improvement.
• Apply descriptive statistics, regression, experimentation, and causal or pre/post analysis where appropriate, clearly explaining assumptions, limitations, and results.
• Create clear visualizations, dashboards, executive summaries, and other artifacts that help technical and non-technical stakeholders understand what is happening and what to do next.
• Master latest AI productivity technology to revolutionize the depth and the trust in your work.
• Collaborate transparently with analytics, product, data, engineering, and commercial partners; seek feedback early and share knowledge with teammates.

Experience and qualifications

• You have 2+ years of relevant experience with a bachelor’s or master’s degree in mathematics, statistics, computer science, or a related technical field; or Equivalent related professional experience.
• You have demonstrated experience using SQL and Python, R, or a similar programming language to analyze, structure, transform, and visualize large datasets.
• You efficiently leverage AI to speed-up delivery, automate and add depth to your analyses.
• You understand probability, descriptive statistics, regression, and common experiment designs such as pre/post analysis, A/B testing, or causal impact analysis.
• You can combine data from multiple sources, perform data quality checks, and write efficient, shareable code that can be translated into a data pipeline or reused by others.
• You can explain analytical methods, caveats, and recommendations clearly to audiences with different levels of technical understanding, including stakeholders up to Senior Manager level.
• You bring curiosity, critical thinking, problem-solving ability, business acumen, and a collaborative approach to working through ambiguous questions.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal 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.