Data Scientist, Analytics

Expedia; Greater London; On-site; GBP 49,000 - 77,000; Full time

Job summary

Expedia Group in London is seeking a senior data scientist to apply advanced statistics and machine learning to supply optimisation. You will extract and model data from multiple sources, design experiments, and deliver data-driven recommendations that improve business performance.

The role focuses on building scalable analytics, communicating findings to both technical and non-technical stakeholders, and driving measurable impact within Expedia Group's Analytics team in London.

Qualifications

• 4–6 years in data science/analytics with relevant degree
• Advanced SQL, Python or R for large-scale data work
• Proven ability to deliver data-driven insights across multiple projects

Responsibilities

• Apply advanced statistical and ML techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact
• Extract, structure, and transform data from multiple sources to build datasets for modelling
• Design and execute measurement frameworks including A/B testing and causal impact analyses
• Build, evaluate, and iterate on statistical models and translate findings into actionable recommendations
• Develop clear data visualisations and narratives for technical and non-technical stakeholders
• Lead small analytical workstreams end-to-end with stakeholders to refine scope and approach
• Automate reporting tasks and build scalable dashboards for self-serve analytics
• Produce high-quality artefacts like technical docs and exec summaries
• Collaborate with peers, domain experts, and business stakeholders to validate approaches
• Provide coaching on statistical techniques and data quality standards
• Champion reproducibility with well-documented code and shared repos

Skills

SQL

Python

R

Statistics

Machine Learning

Data Visualization

Communication Skills

Supply Optimisation

Education

PhD/Masters/Bachelors in Math/CS/Stats

Tools

Presto

Hive

BigQuery

Hadoop

GitHub

Confluence

Job description

Salary: £49,000 - 77,000 per year

Requirements

• PhD, Masters, or Bachelors 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
• Preferred: Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop
• Preferred: Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches
• Preferred: Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact
• Preferred: Familiarity with inclusive data visualisation design principles, including accessible colour selection and charting best practices

Responsibilities

• 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

Technologies

• Big Data
• BigQuery
• GitHub
• Hadoop
• Hive
• Support
• Machine Learning
• Network
• Python
• SQL
• ARM
• Confluence

More

We are Expedia Group, a global travel company powered by passionate people, trusted partnerships, and leading technology. Through our consumer brands, B2B network, and travel advertising business, we connect travelers, partners, and advertisers and help 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 support a flexible, inclusive environment where people can grow their careers and do their best work. This role sits within Expedia B2B and our Analytics team in London, where we focus on supply optimisation strategy and meaningful business impact. We also offer flexibility, benefits, support, and an inclusive and accessible recruiting experience. We are committed to equal opportunity and creating a diverse workforce.

last updated 36 week of 2026