Senior Data Scientist
Senior AI / Data Science Specialist
Hybrid – 3 days onsite | £80,000 + benefits
Overview
A major customer-focused organisation is expanding its AI capabilities and is building out two key streams:
- Traditional ML/Data Science
- A new and rapidly growing AI function
This role sits within the AI stream, operating alongside one existing AI specialist but at a slightly more senior and strategic level. You will help shape the organisation's LLM strategy, conversational AI capabilities, and broader applied AI roadmap.
Key Responsibilities
- Design, build, and enhance LLM-driven tools, including RAG pipelines, embeddings, and prompt engineering.
- Support and expand the organisation's chatbot capabilities.
- Work with unscripted data (text, call transcripts) to define key insights and model outputs.
- Lead and contribute to the development of evaluation frameworks to measure AI and LLM performance.
- Operate between AI engineering, ML engineering, and data science teams, helping define and influence wider AI strategy.
- Collaborate with product, technical, and commercial stakeholders to deliver high-impact AI solutions.
Tech Environment
- Python
- LangChain / Langfuse (open to other modern AI frameworks)
- Azure & Databricks
- Experience deploying AI/ML models into production
- Understanding of microservices architectures
- Strong MLOps practices
- Experience with conversational AI tools is a plus
About You
- 5+ years of experience across AI, machine learning, and data science
- Proven ability to build POCs and move quickly in an applied AI environment
- Broad exposure across LLMs, model deployment, and DS methodologies
- Strong communication skills with the ability to work with non-technical and senior stakeholders
- Comfortable operating in a hybrid model (3 days onsite)
- Experience in customer-focused or high-volume data environments is advantageous