Lead Data Scientist
Core
Lead a team of data scientists to build AI and machine learning solutions for detecting, mitigating, and preventing cyber threats in a banking environment.
Role type
Senior IC Lead Data Scientist (Cybersecurity)
Builds
Production-ready ML pipelines, anomaly detection models, and LLM-based security automation tools
Domain
Financial Services / Cybersecurity / AI
Deliverable
production ML models
Required skills
Team leadership, Python, TensorFlow, PyTorch, GCP, anomaly detection, time-series modelling, deep learning architectures, LLMs, prompt engineering, RAG pipelines, model fine-tuning, ethical AI governance
Preferred skills
Understanding of emerging cyber security threats
Technologies
Python, TensorFlow, PyTorch, GCP
Responsibilities
Define and evolve approaches to anomaly detection balancing performance and operational risk, lead a team of data scientists, drive innovation in LLM-based security automation, collaborate with data engineers to build scalable ML pipelines, partner with cyber defence and compliance teams to ensure model explainability and regulatory alignment, translate data insights into actionable intelligence for senior leadership
Seniority
Senior, hands-on IC with team leadership
