Department: Engineering
Hybrid, 4-days per week
DR: Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in Madrid.
Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis
Iterating on the system's architecture to increase the complexity and precision it can handle — this is not a rip-and-replace, but a thoughtful evolution of a system already in production
A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
~4+ years of experience as a Data Scientist, with demonstrated ownership of production systems
~ Proficiency in Python, SQL, and working with graph databases or knowledge graph structures
~ Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator
~ Comfort working across research and data engineering contexts — this role spans all three
~ Experience with Docker, Kubernetes, and API development




~ 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 integral crisis event, we’re providing intelligence that’s at the heart of those circumstances. Given the significance of our work and the increasing global re

📌 Senior Data Scientist (España)
🏢 Kharon
📍 España