Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Product Data Scientist

Tripadvisor
London
1 month ago
Create job alert

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, Design).
  • 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 engage, influence, and inspire cross-functional partners at all levels.
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

You could be an especially great fit if you have:

  • Advanced programming background with the ability to build simulations and prototype data products.
  • Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).
  • Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.
  • Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.
  • Masters degree or equivalent relevant programs

Perks of Working at Viator

  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
  • "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like.
  • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
  • Donation matching. Give back? Give more! We match qualifying charitable donations annually.
  • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
  • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
  • Travel perks. We believe that travel is employee development, so we provide discounts and more.
  • Employee assistance program. We're here for you with resources and programs to help you through life's challenges.
  • Health benefits. We offer great coverage and competitive premiums.

Our Values

  • We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights.
  • We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done."
  • We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process.
  • We serve our customers, always. We listen, question, respond, and strive for wow moments.
  • We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow.
  • Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.

#Viator

#LI-WR1
#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Product Data Scientist

Principal Product Data Scientist

Principal Product Manager, Data Science & Machine Learning

Principal Data Scientist

Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD)

Principal Data Scientist - AI

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.