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Principal Product Data Scientist

Job in City Of London, Central London, Greater London, England, UK
Listing for: TripAdvisor LLC
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 GBP Yearly GBP 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Principal Product Data Scientist I Viator

About Viator

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary.

Viator. One app, 300,000+ travel experiences you’ll remember.

What you will do:

As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence.

Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences.

Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization.

Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility.

Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production.

Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes.

Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value.

Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence.

Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities.

Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap.

Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams.

What You’ll bring to the team:

Core

Qualifications:

Experience:

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.

Technical & Modeling Expertise:
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 (e.g., Regression, Classification, Clustering).

Product Acumen:
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch.

Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering).

Scaling Impact:
Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products.

Critical Thinking:
Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.

Leadership:
Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.

Collaboration & Communication:
Exceptional collaboration and communication skills, with the ability to…

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