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Lead Data Scientist

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Lloyds Bank plc
Full Time, Part Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 92701 - 109060 GBP Yearly GBP 92701.00 109060.00 YEAR
Job Description & How to Apply Below
Location: City of Edinburgh

Salary Range: £92,701 - £109,060

Location: Edinburgh, Leeds, Manchester & Bristol

Hours: Full time (35 hours)

Working Pattern: Hybrid; at least 2 days per week at an office site. Disability accommodations available.

What you’ll do
  • Own the delivery of security outcomes, including defining and evolving approaches to anomaly detection that balance performance, explainability, and operational risk.
  • Lead a team of Data Scientists.
  • Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine‑tuning of models.
  • Collaborate with Data Engineers to build scalable, secure, and production‑ready ML pipelines on GCP.
  • Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).
  • Contribute to the Data Science Community of Practice, helping shape best practices across the organisation.
  • Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions.
What you’ll need
  • Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.
  • Deep expertise in Python, ML frameworks (e.g. Tensor Flow, PyTorch), and cloud platforms (preferably GCP).
  • Strong grasp of anomaly detection, time‑series modelling, and deep learning architectures.
  • Experience with LLMs and generative AI in production environments is highly desirable.
  • A passion for ethical AI, model governance, and secure ML operations.
  • Excellent communication and customer engagement skills.
  • An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry.
  • Understanding of emerging threats within cyber security.
Benefits
  • A generous pension contribution of up to 15%.
  • An annual bonus award, subject to group performance.
  • Share schemes including free shares.
  • Benefits you can adapt to your lifestyle, such as discounted shopping.
  • 30 days’ holiday, with bank holidays on top.
  • A range of wellbeing initiatives.
  • Generous parental leave policies.

We are committed to building an inclusive, disability‑confident organisation that welcomes applications from under‑represented groups. If you would like reasonable adjustments to be made to the recruitment process, just let us know.

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