Data Scientist, Retrieval & Agentic Systems

Kharon; Madrid; Hybrid; EUR 949,000 - 1,060,000; Full time

Benefits offered by this job

Discretionary annual bonus

Job summary

Kharon, based in Madrid, is seeking a full-time Data Scientist, Retrieval & Agentic Systems. The role focuses on owning Corestream, enhancing semantic search, and integrating risk insights into retrieval systems. You will co-lead narrative generation and roadmap delivery with Product and Engineering.

You will work in a hybrid setup (3 days on-site) in Madrid, applying Python, SQL, and graph-aware techniques to build robust risk intelligence solutions for clients.

Qualifications

• 3+ years of experience in Data Science or AI Engineering.
• Hands-on experience with semantic search techniques (BM25, vector search, reranking).
• Experience with RAG pipelines and agentic systems in production.
• Interest or experience in global security, financial crimes, sanctions, or related domains.

Responsibilities

• Own and evolve Corestream, Kharon's risk intelligence feed for customers.
• Redesign and improve semantic search capabilities for content discovery and retrieval.
• Integrate risk analysis outputs into the search layer to surface graph-based insights.
• Drive narrative generation pipeline from graph and analytics to written intelligence for customers.
• Collaborate with Product and Engineering to own the Corestream roadmap and advance it.
• Tune metrics to define search quality and narrative relevance.

Skills

Semantic search

BM25

Vector search

RAG pipelines

Agentic systems

Python

SQL

Knowledge graphs

Product alignment

Job description

Location: Madrid, Spain Annual Remuneration: €85,000 - €95,000 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 Madrid.

• 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

• 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 SQLStrong 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