At a Glance
- Tasks: Lead data science initiatives to enhance product features and drive customer insights.
- Company: Join a forward-thinking company shaping the future of product analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Inclusive environment with a focus on mentorship and career development.
- Why this job: Make a real impact by embedding data intelligence into our core products.
- Qualifications: Experience in data science, strong Python and SQL skills, and a collaborative mindset.
The predicted salary is between 70000 - 90000 £ per year.
As our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability.
This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into its core.
You will help set the vision for how data science can solve our most challenging problems.
You will act as a catalyst, mentoring a talented team of product analysts while spearheading the development of models and frameworks that drive our product strategy forward.
What You Will Do
- Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience.
- Use your knowledge and experience to help scale the impact of the Product Analytics team through data science, creating automation, self‑service model capability, improving experimentation velocity, and driving efficiency.
- Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations.
- Explore new tooling, products, and approaches, including Agentic AI and AI Agents, to identify opportunity areas, prototype through POCs, and drive adoption.
- Partner with Product Managers, Designers, and Engineers to identify high‑impact opportunities where data science can solve customer problems and improve the product.
- Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions.
- Guide and mentor other product analysts in best practices for experimentation, modeling, and data‑driven product development, upskilling the team and defining the roadmap for Product Data Science.
- Communicate complex data insights to both technical and non‑technical stakeholders with clarity and influence.
Experience & Qualifications
- Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- Advanced proficiency in Python and SQL, with deep, hands‑on experience in statistical modeling, quasi‑experimentation, multi-arm bandit, and a wide range of machine learning techniques (e. g., regression, classification, clustering).
- Demonstrated ability to define, implement, and operationalize crucial product and feature‑level metrics from scratch.
- Proactive and collaborative approach with a proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross‑functional partners (e. g., Product, Engineering, Design teams).
- Experience scaling impact through the creation of automated processes, self‑service tools, or data products.
- Strong critical‑thinking skills, applying rational, skeptical, and unbiased analysis to form judgments based on evidence.
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Nice to Haves
- 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.
- Deep experience in developing sophisticated customer segmentation models, including predictive LTV modeling.
- Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.
We strive to create an accessible and inclusive experience for all candidates.
If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at Accessible Recruiting@tripadvisor. com.
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