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Job Description

Senior Data Scientist – AI & Conversational Systems (RAG / LLMs) - £800 per day Outside IR35

Location: London / Hybrid

About the Role

A leading financial media and data business is building a next- AI-powered conversational assistant designed to surface insights across both proprietary datasets and premium editorial content.

The organisation is seeking a Senior Data Scientist to help evolve this platform into a high-quality, production-grade system. The role focuses on improving answer quality, retrieval performance, and real-time responsiveness - translating cutting-edge LLM capabilities into reliable, user-facing products.

Responsibilities

Develop and optimise RAG (Retrieval-Augmented ) pipelines Design approaches that combine: Unstructured data (articles, reports, documents) Structured data (databases, SQL systems) Build and refine text-to-SQL capabilities Evaluate and improve LLM outputs: Accuracy, grounding, and hallucination reduction Retrieval relevance and ranking performance Design and implement evaluation frameworks (offline and online) Collaborate with engineering teams to deploy models into production environments Identify and solve real-world implementation challenges Contribute to shaping and executing a focused AI roadmap

Requirements

Essential:

Proven experience delivering production-grade RAG systems Deep expertise in working with LLMs for high-quality answer Databricks experience Strong experience with both: Unstructured text data Structured data / SQL systems Experience in model evaluation, experimentation, and optimisation Ability to translate complex problems into scalable, practical solutions

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