Senior Data Scientist

Role Description

As a Senior Data Scientist, reporting to the Head of Data Science in our Data & Analytics team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience.

• Work on customer-facing problems such as:
  • Search and ranking
  • Recommendations
  • Segmentation
  • Lifecycle modelling including activation, churn, and reactivation
  • Lead scoring
  • Personalization
• Operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems.
• Take real ownership, which may include:
  • Contributing to data pipelines
  • Partnering closely with engineers on real-time systems
  • Ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue.
• Collaborate cross-functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem-solver.

Qualifications

• Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer-facing product environment.
• Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems.
• Strong Python and SQL skills, with the ability to work across modelling and data preparation.
• Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained.
• Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments.
• Conversational-level English language skills.

Requirements

• Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role.
• Experience working with real-time or near real-time systems.
• Exposure to pricing or marketing optimisation problems.

Benefits

• This is a fully remote position. We take pride in being a globally distributed team.
• A generous holiday allowance of 26 days plus public holidays.
• Access to a global learning and development program, wellness benefits, and discounts across partner platforms.