About this role
Salary: £71,000 - 99,000 per year
Requirements: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.Expert-level proficiency in Python and SQL.Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques, such as regression, classification, and clustering.Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.Proven track record of driving strategic impact through a proactive and collaborative approach, with the ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners.Experience scaling analytics or data science capabilities through automated processes, self-service tools, or data products.Strong critical thinking skills, with the ability to analyze facts, evidence, observations, and arguments to form rational, skeptical, and unbiased judgments.Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform, and other central functions, often without direct authority.Bachelors degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation.Strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles.Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products.Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness.Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions.A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join. Responsibilities: Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact.Drive effective goal-setting, planning, and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation, and delivery against strategic objectives.Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across our teams, ensuring outputs are robust, actionable, and decision-oriented.Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required.Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making.Translate ambiguous business problems into structured analytical and data science problems, ensuring our team delivers clear, commercially meaningful recommendations.Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams.Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation.Build and maintain strong partnerships with Data Platform, Data Engineering, and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.Build and evolve the teams capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function.Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working, and organisational effectiveness across Product Data Science while leading change that enables the team to scale.Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline. Technologies: Agentic AIAIARMEmbeddedMachine LearningMarketingPythonSQL More:
We are Tripadvisor, the worlds largest online travel site, visited by 390 million travellers each month. Our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation, and data sits at the heart of how we build great products, understand our customers, improve decision-making, and drive measurable business impact. We believe we are better together and welcome you for who you are. Our workplace is for everyone, and we want you to bring your unique perspective and experiences so we can collectively revolutionise travel and find the good out there. This role is a senior leadership position within our Product Data Science organisation, with a hybrid working setup noted in the posting.
last updated 36 week of 2026