Senior Data Scientist: Retrieval & Agentic Intelligence

Kharon; City of Westminster; Hybrid; GBP 98,000 - 112,000; Full time

Benefits offered by this job

Private health insurance

Pension plan 3% employer contribution

Annual leave + holidays

Job summary

Kharon in London is seeking a Senior Data Scientist for Retrieval & Agentic Systems. This full-time, hybrid role emphasizes advanced content discovery and risk intelligence across products.

You will own end-to-end problems, collaborate with Product, Data Science and Engineering, and contribute hands-on to production systems. Strong Python skills and experience with retrieval, LLMs, and vector search are expected.

Qualifications

• Experience in data science, AI/ML engineering or related roles.
• Hands-on retrieval experience: lexical search, embeddings, vector search, hybrid retrieval, ranking and evaluation.
• Experience building LLM-powered apps, RAG pipelines, or agentic workflows.
• Strong Python skills and production-grade software development.
• Ownership mindset: tackle ambiguous problems independently with stakeholders.
• Curiosity and willingness to experiment with new approaches.

Responsibilities

• Own and advance content discovery in Corestream, improving how users find and engage with risk intelligence.
• Redesign and improve hybrid search capabilities using BM25, embeddings, RAG, reranking, and graph signals.
• Build discovery experiences like agentic search and intelligent content categorization.
• Contribute to the narrative generation pipeline turning data into written intelligence.
• Own problems end-to-end from opportunity to production deployment and refinement.
• Collaborate with Product, Data Science, and Engineering, influencing priorities and architecture.

Skills

Data Science

Python

ML/AI Engineering

Independent thinking

Tools

BM25

RAG pipelines

Vector search

Job description

Kharon in London is seeking a Senior Data Scientist for Retrieval & Agentic Systems. This full-time, hybrid role emphasizes advanced content discovery and risk intelligence across products.

You will own end-to-end problems, collaborate with Product, Data Science and Engineering, and contribute hands-on to production systems. Strong Python skills and experience with retrieval, LLMs, and vector search are expected.