AI & Emerging technologies

Data Scientist - Security Data & AI Lab

Lloyds Banking Group

Edinburgh · City of Edinburgh · United Kingdom

Overview

In this role, you will apply data science and machine learning to detect, mitigate and prevent threats within a data-rich banking environment. You will collaborate across data engineering, DevOps, and security specialists to deliver end-to-end solutions. You’ll translate business problems into data-driven approaches, integrate models into existing systems, and help grow security domain knowledge. This is a chance to shape how data science supports safeguarding customers, colleagues, and assets at Lloyds Banking Group.

Pay / Benefits
  • up to 15% pension contribution
  • annual performance-related bonus
  • share schemes including free shares
  • discounted shopping
  • 28 days’ holiday + bank holidays
  • wellbeing initiatives and parental leave
Responsibilities
  • Collaborate with data engineers, DevOps, and domain experts to deliver security-focused data science solutions
  • Translate business problems into data science requirements and deliverables
  • Integrate models using MLOps and ensure explainability for actionable insights
  • Grow security domain knowledge and maintain both traditional and agentic ML systems
  • Present data science concepts and results to audiences with varying levels of technical familiarity
  • Participate in team planning and ceremonies, manage priorities and external dependencies
Key requirements
  • Experience delivering data science or analytics projects from problem definition to implementation with measurable business impact
  • Solid understanding of machine learning and statistics, with emphasis on unsupervised models
  • Knowledge of foundational model systems and agent-building frameworks
  • Proficiency in Python and libraries such as pandas, scikit-learn, NumPy, plus visualization tools
  • Strong SQL skills and experience querying large datasets; familiarity with BigQuery or Snowflake
  • Effective communication to both technical and non-technical audiences
  • Working knowledge of cloud platforms and infrastructure
  • Strong problem-solving skills and a structured approach to data-driven solutions
  • Curious and innovative mindset, staying current with industry developments
  • effective communication
  • collaboration
  • problem-solving
  • Python
  • pandas
  • scikit-learn

Reference: WJ-747_31226413

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