Lead Data Scientist

We’re looking for a Lead Data Scientist to shape and deliver high-impact machine learning and AI capabilities across a fast-moving B2C marketplace. You’ll lead the development of agentic AI-powered search experiences and intelligent decisioning that directly influence discovery, conversion, and customer retention.

Working closely with the Chief Data Officer, this role sits at the intersection of agentic search, rankings, recommendations, loyalty, and marketing, partnering closely with Product, Engineering, and Commercial teams to turn data into measurable outcomes.

If you enjoy working on large-scale, customer-facing ML systems and want to drive strategy as well as delivery, this is an opportunity to lead from the front and build capabilities that customers feel every day.

Key Responsibilities

• Own and evolve the data science roadmap across agentic search, ranking, and recommendation systems, aligned to key marketplace metrics
• Lead end-to-end model development: problem framing, feature design, experimentation, evaluation, deployment, and iteration
• Build and optimize ranking and recommender models, balancing relevance, diversity, fairness, trust, and business objectives
• Apply agentic AI approaches to improve discovery journeys and decisioning, exploring LLM-enabled and autonomous workflows where valuable
• Partner with Marketing and Loyalty teams to improve personalization, segmentation, churn reduction, and lifetime value
• Drive robust experimentation practices (A/B testing, uplift modeling, measurement frameworks) to quantify impact
• Collaborate with Engineering on production-grade ML systems, data pipelines, and monitoring in AWS and Snowflake
• Mentor and support other data scientists, raising standards for scientific thinking, code quality, and stakeholder communication
• Communicate clearly with non-technical stakeholders, translating complex work into actionable insights and decisions