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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Data Scientist - **Company:** Tripadvisor - **Location:** London, UK - **Salary:** £67,252.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Big Data, Python (Programming Language), Tableau (Software), Sql Optimization, Large Language Models, Data Analytics, Tools for Reporting, Looker Analytics - **Published:** July 22, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5807189900 ## About the Role * Several years in a data science, analytics, or quantitative research role at a data-driven organization; strong product analysts who are actively upskilling in data science methods are encouraged to apply * Advanced SQL skills and hands-on experience querying and manipulating large datasets * Proficiency with data visualisation tools (Tableau, Looker or equivalent) * Experience with the full A/B testing process, from test design to results interpretation * Some proficiency in Python for analysis, experimentation and exploratory modeling * A track record of using data insights to influence product or business decisions * Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it * A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques, * Exposure to more advanced statistical methods and causal inference techniques - e.g. propensity scoring, synthetic controls, difference-in-differences, Bayesian approaches * Familiarity with LLMs or NLP tooling for analytics use cases (e.g., content classification, dataset enrichment) * Experience in travel or e-commerce; understanding of two-sided marketplace dynamics, geo-based demand variation, or supplier/consumer trade-offs ## Description As a Product Data Scientist, you'll be the analytical backbone of one or more product pods. You'll own measurement and reporting, support experimentation, and surface the insights that drive product decisions - while actively developing your skills in more advanced analytics methods. This is a role for someone with strong foundational data science skills who is energised by the opportunity to grow., * Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making * Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections. * Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized - such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV. Strategic Analysis & Measurement * Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle. * Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions; for example, using tree-based or regression modeling to identify signals of high LTV * Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks * Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.' Stakeholder Management & Communication * Act as a thought partner with product managers and engineers to ensure the right data questions are being asked * Translate analyses into clear narratives that are accessible to non-technical audiences - emphasising actionable insights and 'so what' over technical detail. * Be a champion of unbiased, rigorous analysis - including when the data doesn't support a stakeholder's hypothesis; willingness to be the voice of inconvenient truths is a core expectation of this role. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Would You Buy Your Own HR? 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