Product Data Scientist

Salary: £71,000 - 99,000 per year

Requirements:

• 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: we can define a question when it isnt handed to us, and we are energised by incomplete information rather than paralysed by it
• A growth mindset: we are actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques
• Nice to have: exposure to more advanced statistical methods and causal inference techniques such as propensity scoring, synthetic controls, difference-in-differences, and Bayesian approaches
• Nice to have: familiarity with LLMs or NLP tooling for analytics use cases such as content classification and dataset enrichment
• Nice to have: experience in travel or e-commerce; understanding of two-sided marketplace dynamics, geo-based demand variation, or supplier/consumer trade-offs

Responsibilities:

• Design and analyse A/B tests across our marketplace, applying sound statistical methods to interpret results and support confident decision-making
• Champion experimentation best practices, including power calculations, guardrail metrics, and multiple testing corrections
• Develop our mastery of causal inference and advanced experimentation techniques such as difference-in-differences, propensity scoring, and synthetic controls as we apply them to questions that cannot be randomized
• 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
• Use 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
• 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 the so what over technical detail
• Be a champion of unbiased, rigorous analysis, including when the data does not support a stakeholders hypothesis

Technologies:

• Backbone
• Support
• Looker
• Python
• SQL
• Tableau

More:

We are Tripadvisor Group, connecting people to experiences worth sharing and aiming to be the worlds most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. Our subsidiaries include Tripadvisor, Viator, and TheFork. At Tripadvisor Experiences, we are passionate about travel and data, and this Product Data Scientist role will serve as the analytical backbone of one or more product pods, supporting measurement, experimentation, and insights that drive product decisions while you grow your skills in advanced analytics. We operate in a hybrid environment.

last updated 36 week of 2026