Lead Data Scientist – Security Knowledge Graphs

Zohorecruit; United Kingdom; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

Zohorecruit seeks a Lead Data Scientist to architect and operationalize Security Knowledge Graphs for enterprise cyber analytics. You will lead graph engineering, data science, and security operations integration.

Join a hands-on leadership role that combines semantic modeling, ML, and GraphRAG to enable threat investigation, attack-path analysis, and evidence-driven decisions across SOC, IAM, and cloud security teams.

Qualifications

• Knowledge graphs design and semantic modeling experience.
• Hands-on with graph platforms and data science tools.
• Strong Python/SQL and data engineering fundamentals.

Responsibilities

• Design the Security Knowledge Graph architecture and lifecycles.
• Build graph ingestion pipelines for SIEM, IAM, CMDB and cloud data.
• Develop entity resolution, schema mapping, and enrichment.
• Model assets, users, vulnerabilities, threats, incidents.
• Apply graph analytics for attack paths and prioritization.
• Develop ML models: centrality, anomaly detection, link prediction.
• Design GraphRAG with evidence, citations and approvals.
• Collaborate with SOC, threat intel, IAM, cloud teams.
• Own design reviews, observability, and production readiness.
• Mentor data scientists and engineers; support customer demos.

Skills

Knowledge graphs

Graph platforms

Graph data science

Python & SQL

Data engineering

Cybersecurity

MITRE ATT&CK

GenAI & GraphRAG

MLOps & observability

Tools

Neo4j

Amazon Neptune

TigerGraph

Azure Cosmos DB

ArangoDB

Job description

Zohorecruit seeks a Lead Data Scientist to architect and operationalize Security Knowledge Graphs for enterprise cyber analytics. You will lead graph engineering, data science, and security operations integration.

Join a hands-on leadership role that combines semantic modeling, ML, and GraphRAG to enable threat investigation, attack-path analysis, and evidence-driven decisions across SOC, IAM, and cloud security teams.