Lead Data Scientist
We are working with a rapidly growing early stage business to create a new intelligence layer for the next era of product discovery.
This is exactly what this company solves: With AI assistants becoming the first place consumers turn to for information and recommendations, brands need to understand how these systems interpret products, surface them and prioritise them across different conversational and search environments.
The team is looking for a Lead Data Scientist to architect and own the modelling engine that powers the platform.
This is a hands-on role with significant technical ownership. You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.
You will work across ranking signals, vector and semantic representations, entity understanding, graph-based relationships, model serving, observability, cost and latency optimisation, and the connection between unstructured signals and automated recommendations.
The ideal candidate has expertise in data science, machine learning, and software development, with a strong background in building scalable data platforms.
A successful Lead Data Scientist will be able to lead cross-functional teams and communicate complex ideas effectively.