Deloitte's Technology & Transformation practice empowers companies to harness the full potential of their data. Leveraging a global network, we provide strategic guidance and implementation services to manage complex data landscapes, transforming disparate sources into actionable insights. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics including big data, cloud, and AI/ML technologies.

Develop advanced AI/ML use cases for anomaly, fraud, and threat detection. Prepare and analyze security datasets, building, validating, and continuously monitoring models. Integrate analytical models seamlessly with SIEM, alerting, and response workflows. Investigate model outputs to enhance accuracy, explainability, and resilience. Assess AI-specific risks, ensuring robust privacy and security controls. Foster collaboration with cybersecurity, data engineering, and application teams.

A Bachelor's degree in Cyber Security with AI/ML or an equivalent qualification is required. Candidates should possess practical experience in Cybersecurity coupled with AI/ML proficiency. Demonstrated success in delivering responsibilities relevant to this role within enterprise or public-sector environments is essential. Key technical skills include a strong foundation in Cybersecurity principles alongside expertise in machine learning and data analytics.