SME IT Security

Job description

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. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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