A hands-on senior data science role focused on building and improving recommendation and personalisation models for a large-scale streaming product.

This role owns delivery within a defined problem space — taking models from ideation through experimentation to production — while collaborating closely with engineering and product partners. There’s scope to influence approach and mentor others, but the emphasis is on execution and impact.

A principal-level individual contributor role with responsibility for technical strategy, standards, and architecture across recommendation and personalisation systems.

This role sets the direction for how ML is designed, evaluated, and deployed across multiple teams. You’ll act as a technical authority, influencing long-term ML roadmaps, platform decisions, and best practices while still staying close to the hardest problems.