Lloyds Banking Group

Data Scientist - Security Data & AI Lab

Leeds Wellington Place

Actively hiring, first seen by us 4 days ago

Pay: £48,987–54,430/yearAnnual period assumed — pay source
Salary Range £48,987 - £54,430 We support flexible working – click here for more information on flexible working options
JOB TITLE: Data Scientist - Security Data & AI Lab SALARY: £48,987-54,430 LOCATION(S): Leeds, Manchester or Edinburgh
Read the full posting
Work setting: Hybrid — work setting source
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:
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Turn internal business security problems into data science solutions
Build and maintain traditional machine learning and agentic systems
Integrate models into existing systems through MLOps and explainability
Work with data engineers, DevOps engineers and domain experts on solutions
Demonstrate data science work to audiences with varying knowledge

From the employer’s posting

Working with our internal customers and stakeholders to convert business problems into data science solutions.

Building and maintaining both traditional machine learning and agentic systems.

Integrating solutions into the existing systems and processes through MLOps and model explainability

Collaborating with data engineers, DevOps engineers, and domain experts to deliver solutions across many branches of security.

Contributing to the growth of data science understanding with demonstrations and show & tells to audiences of varying prior knowledge levels.

About Lloyds Banking Group

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers.

In the employer’s words · Read in context

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Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20264 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Lloyds Banking Group is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
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Hiring record

See how this role fits your experience

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Python
SQL
BigQuery
Snowflake
NumPy
pandas
scikit-learn

Where the posting names them

- 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.

- 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.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

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.

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