Sr. Data Scientist, Retrieval & Agentic Systems
Hybrid Madrid Full-time Senior Data Science
At a glance
Senior Data Science role at Kharon. Madrid · full-time · €95,000–€115,000 base.
SalaryStated by Kharon
€95,000 – €115,000
Base salary for this role, in EUR per year, as published in the posting.
RoleData Science
SenioritySenior
LocationMadrid
WorkplaceHybrid
EmploymentFull-time
Base pay€95,000–€115,000
PostedOct 28, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Improve Corestream’s hybrid search so customers can find and explore relevant risk intelligence
- Build discovery features such as agentic search, personalized feeds and ways to connect related intelligence
- Turn graph and analytical data into accurate written intelligence through the narrative generation pipeline
- Take discovery problems from evaluation and prototypes through production deployment and ongoing improvement
- Work with Product, Data Science and Engineering on priorities and architecture while staying hands-on
What you bring
- At least three years in data science, AI or ML engineering, or a related software engineering role
- Practical information retrieval experience across methods such as lexical search, embeddings, ranking or retrieval evaluation
- Experience building applications powered by LLMs, including RAG pipelines or agentic workflows
- Strong Python skills and the ability to turn prototypes into dependable, maintainable production software
- A demonstrated interest in global security, financial crime, sanctions, export controls or a related area
Who this fits
This senior role suits a hands-on practitioner who can independently move ambiguous technical problems toward production and work with stakeholders on priorities and architecture. It is based in Madrid, with three days per week in a hybrid arrangement.
From the employer
Location: Madrid, Spain Annual Remuneration: €95,000 - €115,000 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 Sr. Data Scientist, Retrieval & Agentic Systems based in Madrid.
TL;DR Kharon is seeking a full-time Sr. Data Scientist, Retrieval & Agentic Systems based in Madrid.
- Own and advance content discovery in Corestream, improving how customers find, explore, and engage with relevant risk intelligence, while helping shape the technical direction of discovery capabilities across Kharon's products.
- Redesigning and improving Kharon's hybrid search capabilities, opening new avenues for content discovery — drawing on modern approaches including BM25 tuning, semantic distance, RAG, reranking, and graph-based signals that go beyond traditional semantic similarity.
- Explore and build new discovery experiences, including agentic search, intelligent content categorization, personalized feeds, and systems that surface relevant connections across large collections of intelligence.
- 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.
- Own problems end to end, from identifying opportunities and evaluating approaches to prototyping, implementing, deploying, and continuously improving production systems.
- Collaborate closely with Product, Data Science, and Engineering, influencing priorities and architectural decisions while maintaining a strong hands-on contribution.
- A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
- 3+ years of experience in Data Science, AI Engineering, ML Engineering, or related software engineering roles
- Hands-on experience in information retrieval, including experience with some combination of lexical search, embeddings, vector search, hybrid retrieval, ranking, reranking, and retrieval evaluation
- Practical experience building LLM-powered applications, RAG pipelines, or agentic workflows.
- Strong Python skills and the software engineering ability to take an idea from prototype to a reliable, maintainable production implementation
- Demonstrated initiative and technical ownership — a track record of tackling ambiguous problems independently, challenging assumptions, and driving solutions forward while working with stakeholders
- Curiosity and a willingness to experiment with emerging approaches while maintaining a pragmatic focus on what actually works
- Bonus: Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems
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