Lead Data Scientist, Security Knowledge Graphs & AI

Test Triangle Limited; Leeds; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Zohorecruit seeks a Lead Data Scientist to head the design, engineering, and deployment of enterprise Security Knowledge Graphs. The role combines data science, graph engineering, cybersecurity analytics, semantic modeling, and leadership to enable attack-path analysis and AI-assisted security operations.

The candidate will own graph architecture, ingestion pipelines, and ML models, mentoring teams while coordinating with SOC, IAM, vulnerability management, and cloud security groups to deliver

Qualifications

• 10+ years of overall experience in data science or analytics.
• 5+ years in AI/ML or graph analytics.
• Experience designing and operating enterprise Security Knowledge Graphs.
• Hands-on experience with graph technologies in security contexts.

Responsibilities

• Design the Security Knowledge Graph architecture, ontology, and lifecycle standards.
• Build production-grade graph ingestion and transformation pipelines for security data sources.
• Develop entity extraction, identity resolution, deduplication, and graph enrichment capabilities.
• Model assets, users, privileges, vulnerabilities, threats, and incidents within graphs.
• Implement graph analytics for attack paths, privilege escalation, and vulnerability prioritization.
• Develop and evaluate Graph Neural Networks and related graph ML models.
• Design GraphRAG and knowledge-grounded security assistants with evidence traceability.
• Collaborate with SOC, threat intel, IAM, vulnerability management, and cloud security teams.

Skills

Knowledge graphs

Cypher / Neo4j

Graph data science

Python

SQL

MLOps

Distributed processing

Security analytics

MITRE ATT&CK

GraphRAG

Tools

Neo4j

Azure Cosmos DB

Spark

Kafka

Git

Job description

Zohorecruit seeks a Lead Data Scientist to head the design, engineering, and deployment of enterprise Security Knowledge Graphs. The role combines data science, graph engineering, cybersecurity analytics, semantic modeling, and leadership to enable attack-path analysis and AI-assisted security operations.

The candidate will own graph architecture, ingestion pipelines, and ML models, mentoring teams while coordinating with SOC, IAM, vulnerability management, and cloud security groups to deliver