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# Lead Data Scientist

- **Company:** Lloyds Banking Group
- **Location:** Leeds, UK
- **Experience:** Expert
- **Salary:** £92,701.0 - £109,060.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cyber Security, Information Engineering, Python (Programming Language), Tensorflow, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Machine Learning Operations
- **Published:** August 20, 2026
- **Apply:** https://jobs.theguardian.com/job/10177284/lead-data-scientist/

## About the Role

* Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.

 * Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP).

 * Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.

 * Experience with LLMs and generative AI in production environments is highly desirable.

 * Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.

 * Excellent communication and customer engagement skills

 * Innovators Mentality - 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.

It would be great if you also had…

 * Understanding of the emerging threats within Cyber Security

## Description

* 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


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