Cybersecurity AI/ML Lead - Data Scientist

What you'll do

• Perform exploratory data analysis on security datasets to identify patterns and communicate findings to stakeholders.
• Select, develop, and evaluate statistical, machine learning, and deep learning models for cybersecurity use cases.
• Prepare model-ready datasets through feature engineering, data quality assessment, and cleaning techniques.
• Design, build, review, debug, and maintain secure production code for analytical and machine learning solutions.
• Establish portfolio-level guardrails for AI-assisted workflows to ensure traceability, auditability, and security standards.
• Document model selection, interpretability, performance, limitations, and results to support model governance.
• Apply industry insights and regulatory expectations to improve security processes and control effectiveness.

What we're looking for

• Obtain 5 plus years of experience with formal training or certification in security engineering concepts.
• Working knowledge of probability, statistics, and their application to cybersecurity or technology risk use cases.
• Advanced Python skills including Pandas, SQL, and data visualization tools like Matplotlib, Seaborn, or Plotly.
• Experience leading teams in the safe use of enterprise-authorized AI capabilities for security engineering workflows.
• Experience using notebooks such as Jupyter, SageMaker, or VS Code to analyze data and communicate results.
• Working knowledge of Scikit-Learn and machine learning or deep learning frameworks such as PyTorch.
• Proficiency with Software Development Life Cycle, CI/CD practices, application resiliency, and secure software delivery.
• In-depth knowledge of the financial services industry and related IT systems.