Senior Product Data Scientist (AI)

TL;DR

Senior Product Data Scientist (AI/ML): Developing statistical models and advanced analytics to drive product strategy and customer experience with an accent on personalization and recommendation systems. Focus on architecting predictive models, designing complex A/B tests, and exploring Agentic AI for analytics.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a travel marketplace and subsidiary of the Tripadvisor Group, connecting global audiences with unique experiences and travel guidance.

What you will do

• Lead the development of statistical models to directly impact product insights and customer experience recommendations.
• Architect and implement sophisticated predictive, classification, and clustering models to enhance personalization.
• Scale the impact of product analytics by creating automation and self-service model capabilities to improve experimentation velocity.
• Explore and prototype Agentic AI and AI Agents to identify new product opportunities and drive adoption.
• Champion experimentation by designing complex A/B tests, causal inference models, and uplift modeling.
• Mentor product analysts in best practices for modeling and data-driven product development.

Requirements

• Significant experience in data science or a quantitative role supporting a product organization.
• Advanced proficiency in Python and SQL.
• Deep hands-on experience with statistical modeling, quasi-experimentation, multi-arm bandits, and ML techniques.
• Proven ability to define and operationalize crucial product and feature-level metrics from scratch.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Must be based in or able to work in London, UK.

Nice to have

• Experience with applied AI, including NLP, Large Language Models (LLMs), or Agentic AI for analytics.
• Advanced programming background for building simulations and prototyping data products.
• Expertise in predictive LTV modeling and sophisticated customer segmentation.
• Experience working within two-sided marketplaces, e-commerce, or the travel technology industry.

Culture & Benefits

• Commitment to an accessible and inclusive candidate and employee experience.
• Opportunity to work within a global travel ecosystem under the Tripadvisor Group.
• Hybrid work arrangement.