Senior Data Scientist- Security

Reference: 3abcgwa3w6usnbz7qtw5

We are seeking a Senior Data Scientist – Security to develop advanced analytical solutions that help identify, investigate, and prevent cyber threats. In this role, you will work with large and complex datasets from security tools, applications, infrastructure, and business systems to uncover patterns, detect anomalies, and improve the organisation’s ability to respond to risk. You will translate security challenges into practical data science problems and deliver models, insights, and automated capabilities that support informed decision-making.

Your responsibilities will include designing, developing, and maintaining machine learning models for threat detection, behavioural analysis, fraud prevention, vulnerability prioritisation, and incident response. You will explore and prepare structured and unstructured data, define meaningful features, establish evaluation frameworks, and monitor model performance in production. You will collaborate closely with security analysts, engineers, incident responders, and technology stakeholders to understand operational needs and turn analytical findings into reliable, scalable solutions. You will also communicate complex technical concepts clearly to both technical and non-technical audiences, contribute to data science standards, and help mentor less experienced colleagues.

The successful candidate will have substantial experience in data science, machine learning, statistics, or a related discipline, together with a strong interest in cybersecurity. You should be proficient in Python and experienced with common data science libraries, SQL, and data processing or cloud platforms. Practical knowledge of anomaly detection, classification, clustering, natural language processing, graph analytics, or time-series modelling is desirable. Experience working with security telemetry, SIEM platforms, threat intelligence, identity data, or endpoint and network monitoring would be advantageous. You will need strong analytical and problem-solving skills, sound judgement, attention to detail, and the ability to manage competing priorities in a fast-moving environment. A degree or equivalent professional experience in data science, computer science, mathematics, statistics, cybersecurity, or a related field is expected.

COMPETITIVE SALARY
Added 06/10/2026
Reference: 3abcgwa3w6usnbz7qtw5

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