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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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London, England, United Kingdom · Remote OK
$30k–$35k/yr
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Skills: Application Support, Customer Onboarding, SaaS, L1 Support, L2 Support
London, England, United Kingdom • Hybrid
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Apply advanced statistical and machine learning techniques to solve supply optimisation challenges and deliver data-driven insights. Lead analytical workstreams end-to-end, automating reporting and mentoring junior team members to improve business outcomes.
Requires a degree in a technical field with 4-7+ years of experience in data science or analytics. Must be proficient in SQL, Python or R, and have a strong grasp of statistical concepts and modelling techniques.
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.
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.
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
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 the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
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™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter. Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs. If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links: Expedia: https://www.expedia.com/helpcenter Hotels.com: https://service.hotels.com/en-us/ Vrbo: https://help.vrbo.com/ For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp
Offices: 1111 Expedia Group Way W., Seattle, WA 98119, US · DLF City Phase 1 Road, Gurgaon, Haryana 122002, IN · 1 Martin Pl, Sydney, New South Wales 2000, AU · 65 Rue de la Victoire, Paris, IdF 75009, FR · 63 Rue de Bresoles, Montreal, QC H2Y 1V7, CA
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