End Date

Monday 04 May 2026

Salary Range

£72,702 - £80,780

We support flexible working – click here for more information on flexible working options

Flexible Working Options

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Job Description Summary

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Job Description

JOB TITLE: Senior Data Scientist

SALARY: £72,702 – £80,780

LOCATION(S): Edinburgh, Leeds, Manchester, or Bristol

HOURS: Full-time – 35 hours per week

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Edinburgh, Leeds, Manchester, or Bristol office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

About this opportunity

We're looking for a Senior Data Scientist to join the Security Data & AI (SD&AI) Lab within the Chief Scientific Office (CSO). This role focuses on designing and delivering advanced AI/ML solutions to address complex security challenges using Google Cloud Platform (GCP). This role will lead the development of scalable models and systems across areas such as anomaly detection, agentic AI, and large language models (LLMs) to enhance contextual intelligence in security workflows.

You'll work on end-to-end data science solutions: from experimentation to production, leveraging GCP services. The role requires strong technical expertise, leadership, and collaboration with cross-functional teams to translate business needs into impactful, production-ready AI solutions. This is a high-impact position driving innovation in intelligent threat detection, response, and overall security capabilities.

What you’ll be doing

• Lead the build, development, and deployment of advanced machine learning and AI models for security use cases.

• Develop and improve anomaly detection systems across structured and unstructured datasets.

• Architect and implement agentic AI systems capable of autonomous reasoning, decision-making, and task execution in security contexts.

• Leverage LLMs to build contextual intelligence layers that enrich detection, triage, and response workflows.

• Build and operationalise data pipelines using GCP services (e.g., BigQuery, Dataflow, Pub/Sub) for large-scale data processing.

• Deploy and manage ML models using GCP tools, ensuring scalability, monitoring, and lifecycle management.

• Collaborate with cross-functional teams (data engineering, security analysts, product, and analytics) to translate business problems into data-driven solutions.

• Drive experimentation, prototyping, and evaluation of brand-new AI techniques.

• Ensure models are production-ready, scalable, explainable, and aligned with security and governance standards.

• Mentor junior data scientists and contribute to technical leadership within the lab.

• Stay up to date with emerging trends in AI, cloud technologies, and cybersecurity.

Why join us?

We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.

What we’re looking for?

• Graduate-level education (Master’s or PhD) in Computer science, Statistics, Mathematics, Physics or a similar field.

• Substantial background in data science or machine learning.

• Strong expertise in anomaly detection techniques (statistical, ML-based, and deep learning approaches).

• Hands-on experience with large language models (LLMs) and retrieval-augmented generation (RAG).

• Some experience building or working with agentic or autonomous AI systems.

• Proficiency in Python and common data science/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Solid background in working with Google Cloud Platform (GCP), including services such as BigQuery, Vertex AI, Dataflow, and Cloud Storage.

• Solid understanding of data pipelines, distributed systems, and MLOps practices in a cloud-native environment.

And any experience of these would be great

• Experience in domains such as threat detection, fraud detection, or behavioural analytics.

• Familiarity with GCP-native security tools and integrations.

• Experience integrating AI systems into production environments with real-time or near real-time constraints

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

This is a place for you

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.

We also offer a wide-ranging benefits package, which includes:

• A generous pension contribution of up to 15%

• An annual performance-related bonus

• 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 and generous parental leave policies

Ready for a career where you’ll learn and thrive? Apply today and find out more.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.