Data Scientist - Security Data & AI Lab
Job in
Edinburgh, City of Edinburgh Area, EH2, Scotland, UK
Listed on 2026-11-04
Listing for:
Lloyds Banking Group
Full Time
position Listed on 2026-11-04
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Salary Range
48,987 - 54,430
We support flexible working – for more information on flexible working options
Flexible Working Options Job Share
Job Description Summary .
Job Description
JOB TITLE:
Data Scientist - Security Data & AI LabSALARY: 48,LOCATION(S):
Leeds, Manchester or Edinburgh
HOURS:
Full-time WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites
About this Opportunity:
This role sits within the Chief Security Office where it's our job to ensure we keep our customers, colleagues, and assets safe from threat. A key driver of this is data and AI, as such the Security Data & AI lab plays a critical role. We have a brilliant opportunity for a data scientist to join our this role, you'll help in transforming how we detect, mitigate, and prevent threats using advanced machine learning and agentic in one of the UK's most data-rich environments.
What you’ll be doing :
Collaborating with data engineers, Dev Ops engineers, and domain experts to deliver solutions across many branches of security.
Working with our internal customers and stakeholders to convert business problems into data science solutions. Integrating solutions into the existing systems and processes through MLOps and model explainability, in order to ensure model insights are actionable. Growing domain knowledge in Security, one of the most important fields of the future.
Building and maintaining both traditional machine learning and agentic systems. Contributing to the growth of data science understanding with demonstrations and show & tells to audiences of varying prior knowledge levels. Participating in team ceremonies to better understand the work through planning, commit to clear achievable goals, drive appropriate prioritisation, escalate impediments accordingly and manage external dependencies effectively. Why join us?
If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it.
What we’re looking for:
Experience delivering data science or analytics projects from problem definition through to implementation, with the ability to articulate measurable business impact. Solid understanding of machine learning and the underlying statistics. Much of our work is with unsupervised ML models so we must draw on knowledge of fundamentals to make design decisions. Knowledge of foundational model systems and frameworks / best practices for building agents.
Experience using Python and common data science libraries such as pandas, scikit-learn, Num Py and visualisation frameworks. Strong SQL skills with experience querying and transforming large datasets, ideally using platforms such as Big Query, Snowflake, or similar 'big data' warehouses. Effective communication skills, with the ability to explain technical concepts and analytical findings to both technical and non-technical audiences. Working knowledge of Cloud platforms and infrastructure.
Strong problem-solving skills and a structured approach to turning business challenges into data-driven solutions. Curious and innovation-focused, driven to stay current with industry developments. 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 youOur ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and…
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