- Level
- Mid level
- Experience
- Not stated
- Work style
- Hybrid
- Full-time
- Pay
- £49.0k to £54.4k
At a glance
The role in plain English
This role is for a data scientist in Lloyds Banking Group's Security Data & AI Lab. It suits someone with experience in machine learning, data engineering and analytics, particularly in security or large data environments. Day-to-day work involves collaborating with engineers and stakeholders, building and integrating ML and agentic systems, and translating business problems into data-driven solutions. The position is hybrid, requiring regular office attendance in Leeds, Manchester or Edinburgh.
What you'll do
- Collaborate with engineers and domain experts to deliver security solutions
- Translate business problems into data science solutions
- Integrate models into existing systems using MLOps
- Build and maintain machine learning and agentic systems
- Communicate findings to technical and non-technical audiences
What they're looking for
Essential
- Experience delivering data science or analytics projects
- Strong understanding of machine learning and statistics
- Proficiency in Python and data science libraries
- Strong SQL skills with large datasets
- Effective communication skills
Nice to have
- Experience with BigQuery or Snowflake
- Knowledge of cloud platforms and infrastructure
Core skills
- Python
- Machine learning
- SQL
- MLOps
- Data visualisation
- Cloud platforms
- Agentic systems
The shape of the job
Technical depth
4/5
Pace
3/5
Ownership
3/5
Teamwork
4/5
Cyberend's reading of the listing, not the employer's own scores.
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Questions to prepare for
- 01Describe a project where you implemented unsupervised machine learning models.
- 02How do you ensure model explainability in security applications?
- 03What challenges have you faced integrating data science solutions into existing systems?
- 04How would you communicate complex analytical findings to non-technical stakeholders?
About Lloyds Banking Group
Lloyds Banking Group is a major UK financial services organisation with a focus on security, data and AI within its Chief Security Office.
Full job descriptionAs published by Lloyds Banking Group
End Date
Friday 13 November 2026
Salary Range
£48,987 - £54,430
We support flexible working – click here for more information on flexible working options
Flexible Working Options
Job Share
Job Description Summary
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Job Description
JOB TITLE: Data Scientist - Security Data & AI Lab
SALARY: £48,987-54,430
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 team.
In 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, DevOps 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, NumPy and visualisation frameworks.
- Strong SQL skills with experience querying and transforming large datasets, ideally using platforms such as BigQuery, 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 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 were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
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
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Finishing Statement
Like what you hear? Join us!
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.