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Data Scientist, Retrieval & Agentic Systems

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: Kharon
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 105000 GBP Yearly GBP 90000.00 105000.00 YEAR
Job Description & How to Apply Below

Data Scientist, Retrieval & Agentic Systems

Department: Engineering

Employment Type: Full Time

Location: London

Compensation: £90,000 - £105,000 / year

Description

Location: London, UK

Annual Remuneration
: £90,000 - £105,000 and discretionary annual bonus

Pay Frequency
:
Monthly

Probationary Period: 180 days

Work Arrangement
:
Hybrid, 3-days per week

TL;

DR
Kharon is seeking a full-time Data Scientist, Retrieval & Agentic Systems based in London.

RESPONSIBILITIES
  • Owning and evolving Corestream, Kharon's risk intelligence feed — a dynamic platform that surfaces entity-level insights and topic-based risk narratives to customers
  • Redesigning and improving Kharon's semantic search capabilities, opening new avenues for content discovery — drawing on modern approaches including BM25 tuning, semantic distance, RAG, and reranking
  • Integrating Kharon's risk analysis outputs into the search layer, ensuring that graph-based insights surface meaningfully within search results and sub-network exploration
  • Driving the evolution of Kharon's narrative generation pipeline — how we take graph and analytical data and transform it into compelling, accurate written intelligence for customers
  • Partnering with Product and Engineering to take ownership of the Corestream roadmap and push it to its next stage
  • Tweaking and optimizing the metrics that define search quality and narrative relevance
QUALIFICATIONS
  • A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
  • 3+ years of experience in a Data Science or AI Engineering role
  • Hands-on experience with semantic search — including familiarity with BM25, vector search, reranking, and retrieval evaluation
  • Experience with RAG pipelines and working with agentic systems in production
  • Proficiency in Python and SQL
  • Strong product alignment — able to read a roadmap, take ownership of tickets, and drive initiatives forward independently
  • Bonus:
    Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems
ABOUT KHARON

Kharon operates at the nexus of global security and is on a mission to revolutionize the current landscape. We take complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible.

From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.

When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior AI Engineer, Agentic Systems to join us as we work to shape the way businesses perceive and navigate global risks.

Company

Benefits
  • Fully-sponsored private health insurance
  • Pension plan with 3% employer contribution
  • Annual leave plus bank holidays
DISCLOSURES

Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation…

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