Senior Product Data Scientist

• Lead the development of Data Science within Product, producing statistical models that directly drive insights, recommendations, and the customer experience. • Architect and implement sophisticated statistical models including predictive, classification, and clustering approaches to enhance product features like personalisation and recommendations. • Champion experimentation by designing and analysing complex A/B tests, causal inference models, and uplift modelling to inform product decisions. • Explore new tooling and approaches including Agentic AI and AI Agents — identifying opportunities, running POCs, and driving adoption. • Guide and mentor product analysts in best practices for experimentation, modelling, and data-driven product development.

• Have significant experience in data science or a similar quantitative role with a proven track record of influencing a product organisation. • Have advanced proficiency in Python and SQL. • Have deep, hands-on experience with statistical modelling, quasi-experimentation, multi-arm bandit approaches, and a wide range of ML techniques including regression, classification, and clustering. • Have demonstrated ability to define, implement, and operationalise product and feature-level metrics from scratch. • Have a proactive, collaborative approach with the ability to lead technical discussions and communicate complex insights to cross-functional partners. • Have experience scaling impact through automated processes, self-service tools, or data products. • Hold a bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• Have an advanced programming background with the ability to build simulations and prototype data products. • Have experience validating quantitative findings with qualitative methods such as surveys or user research. • Have demonstrated experience with applied AI including NLP, LLMs, or Agentic AI for analytics. • Have deep experience in customer segmentation models including predictive LTV modelling. • Have experience working in a two-sided marketplace, e-commerce, or travel technology environment.

• Lead statistical model development that directly impacts product insights and recommendations. • Scale the impact of the Product Analytics team through automation, self-service model capability, and improved experimentation velocity. • Design and analyse complex A/B tests, causal inference models, and uplift models. • Partner with Product Managers, Designers, and Engineers to identify high-impact data science opportunities. • Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence. • Define the roadmap for Product Data Science and mentor analysts across the team.

• Work in a hybrid pattern from the London office. • Receive competitive compensation benchmarked against the latest industry data, including base salary and annual bonuses. • Access a flexible schedule with work-life balance ingrained in company culture by design. • Receive tuition assistance, a lifestyle benefit, travel perks, and donation matching. • Access an employee assistance programme and strong health benefits. • Receive a generous employee referral scheme.

The Tripadvisor Group connects people to experiences worth sharing, aiming to be the world's most trusted source for travel and experiences. Tripadvisor Experiences is data-driven at its core — using quantitative intelligence to power product decisions, personalisation, and recommendations across one of the world's largest travel marketplaces. This Senior Product Data Scientist role sits at the heart of that capability, shaping the future of how data science is embedded into the product.