SME - IT security

Job Summary

Job Description - Security Data Scientist Function: CSO Role: Security Data Scientist Hiring Managers: Louise Furniss / Julie Wilson Grade: E/F Location: UK / Offshore Open Positions: 2 Duration: 10 Months ________________________________________ Job Summary • Join the Cyber Security organization to apply advanced data science techniques to security monitoring, threat detection, and risk analysis. • Develop innovative security analytics solutions that transform complex security data into actionable intelligence. • Support the creation and management of Security Knowledge Graphs to improve threat visibility and contextual decision-making. • Collaborate with cyber security teams, engineers, architects, and business stakeholders to enhance security outcomes through data-driven insights. • Utilize machine learning, graph analytics, and statistical modelling to identify patterns, anomalies, and emerging threats. • Contribute to cyber security transformation initiatives through advanced analytics, automation, and intelligence-led security practices. • Support enterprise security strategies by enabling proactive threat identification and risk reduction.

Key Responsibilities

Design and develop security analytics models to detect threats, vulnerabilities, and suspicious activities. • Build and maintain Security Knowledge Graph solutions to improve security visibility and relationship analysis. • Analyze large and diverse security datasets from multiple sources including logs, events, vulnerability scans, and threat intelligence feeds. • Apply machine learning, graph analytics, and statistical techniques to improve threat detection capabilities. • Collaborate with cyber security teams to develop actionable insights and support risk-based decision making. • Create dashboards, reports, and visualizations that communicate complex security findings to stakeholders. • Support security investigations, threat hunting activities, and continuous improvement of cyber security monitoring capabilities.

Skill Requirements

Strong experience in Data Science, Machine Learning, and advanced analytics techniques. • Expertise in processing and analyzing large-scale structured and unstructured datasets. • Deep understanding of Security Knowledge Graph concepts, graph databases, and graph analytics methodologies. • Knowledge of cyber security domains including threat intelligence, security operations, identity management, and vulnerability management. • Proficiency in Python, SQL, data visualization tools, and data engineering fundamentals. • Experience with machine learning frameworks, statistical modelling, and predictive analytics techniques. • Strong analytical, communication, problem-solving, and stakeholder engagement capabilities. ________________________________________ Technical Certification Need to Have and Good to Have Need to Have • Degree in Data Science, Computer Science, Cyber Security, Mathematics, Statistics, or a related field. • Demonstrated experience in data science, analytics, or cyber security data analysis roles. • Strong proficiency in Python, SQL, and data analytics techniques. • Experience working with large-scale data platforms and enterprise data environments. • Knowledge of cyber security concepts, threat analysis, and security data management. Good to Have • Google Professional Data Engineer Certification. • Databricks Data Scientist Associate or Professional Certification. • Microsoft Azure Data Scientist Associate (DP-100). • AWS Certified Machine Learning Specialty. • GIAC Cyber Threat Intelligence (GCTI) or related cyber security certification. • Neo4j Certified Professional or certifications related to graph databases and knowledge graphs. • Security certifications such as CISSP, CEH, Security+, or equivalent cyber security credentials.

Other Requirements

The role is focused on combining Data Science and Cyber Security to strengthen threat detection, intelligence, and risk management capabilities. • Experience with Knowledge Graphs, graph databases, and relationship-based security analytics is highly desirable. • Candidates with exposure to AI-driven security analytics, threat intelligence platforms, and predictive security modelling will be preferred. • Strong understanding of security data ecosystems and the ability to derive meaningful insights from complex datasets is essential. • This position offers an opportunity to help shape advanced security analytics and intelligence capabilities within a modern enterprise cyber security environment.