Data Scientist III, Analytics (B2B Supply Optimisation)

Expedia; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Expedia Group seeks a Data Scientist III, Analytics in London to apply advanced statistics and ML to supply optimisation and business challenges. You will independently manage analytics workstreams, mentor juniors, and engage regularly with stakeholders up to VP level.

You will extract and transform data, design measurement frameworks, build models, and communicate insights through visual storytelling to both technical and non-technical audiences.

Qualifications

• PhD, Master’s, or Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field, or equivalent experience.
• 4–6 years of data science/analytics experience across multiple projects.
• Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualization at scale.
• Strong understanding of regression, ANOVA, probability, and Bayesian approaches.

Responsibilities

• Apply advanced statistical and machine learning techniques to supply optimisation challenges and deliver data-driven insights.
• Extract, structure, and transform data from multiple sources to build modelling data sets.
• Design and implement measurement frameworks, including A/B testing and causal analysis.
• Build, evaluate, and iterate on statistical models and translate findings into actionable recommendations.
• Develop clear data visualisations and narratives for stakeholders across technical levels.
• Lead small analytical workstreams end-to-end and collaborate with cross-functional partners.

Skills

SQL

Python

R

Data visualization

Education

PhD/Master's/Bachelor's in Mathematics/Statistics/CS

Tools

Presto

Hive

BigQuery

Hadoop

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 B2B is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. Our Analytics team is at the heart of supply optimisation strategy, turning complex data into meaningful decisions that improve outcomes for our global B2B partners.

As a Data Scientist III,Analytics, you will operate largely independently, applying and enhancing analytical best practices to solve sophisticated business problems. You will manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level.

In this role, you will:

• Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact.
• Extract, structure, and transform data from multiple sources independently to build datasets suited for modelling and in-depth analysis.
• Design and execute measurement frameworks — including A/B testing, causal impact analysis, and multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs.
• Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations.
• Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both technical and non-technical stakeholders.
• Lead small analytical workstreams end-to-end, partnering with stakeholders to refine requirements, agree on scope, and evolve the approach based on findings.
• Automate repeated measurement and reporting tasks and build scalable dashboards, enabling self-serve analytics for stakeholders across the business.
• Produce high-quality project artefacts — including technical documentation, presentations, and executive summaries — tailored to the appropriate forum and audience.
• Collaborate openly with analytics peers, domain experts, and business stakeholders to validate approaches, share knowledge, and socialise findings.
• Provide coaching and constructive feedback to junior team members on statistical techniques, visualisation best practices, and data quality standards.
• Champion reproducibility by writing shareable, well-documented code and contributing to shared repositories such as GitHub or Confluence.

Experience and Qualifications:

• PhD, Master's, or Bachelor's degree in Mathematics, Statistics, Computer Science, or a related technical field; or equivalent related professional experience 4–6 years of experience in a data science or analytics role (with a relevant degree), or 7+ years of comparable professional experience in a data analytics role
• Demonstrable experience delivering data-driven insights that drove meaningful change or performance improvement across multiple projects using varied analytical techniques
• Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale
• Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis
• Experience applying a range of modelling techniques (e.g. linear and logistic regression, clustering) and iterating on models to improve accuracy and business relevance
• Proficient communication skills, with demonstrated ability to present clear data stories and insights to audiences of varying technical levels

Preferred:

• Experience in supply optimisation, pricing, marketplace analytics, or a related domain
• Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop
• Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches
• Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact
• Familiarity with inclusive data visualisation design principles, including accessible colour selection and charting best practices

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.

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections.

Expedia Group's family of brands includes: Brand Expedia® Hotels.com® Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.

For more information, visit www.expediagroup.com.

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.