Data Scientist - Security Data & AI Lab

LLOYDS BANK PLC; Leeds; Híbrido; GBP 49.000 - 54.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Lloyds Banking Group is seeking a Data Scientist to join the Security Data & AI Lab in Leeds, with hybrid working that requires spending at least two days per week in an office. You’ll apply advanced machine learning and agentic methods to detect, mitigate, and prevent threats in a data-rich environment.

You will collaborate with data engineers, DevOps and domain experts to translate business problems into data science solutions, and ensure model insights are actionable through MLOps and

Formación

• 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.

Responsabilidades

• 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 & tell 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, escalade impediments accordingly and manage external dependencies effectively.

Conocimientos

Python

Pandas

Scikit-learn

NumPy

SQL

Visualization

Herramientas

BigQuery

Snowflake

Cloud platforms

MLOps

Descripción del empleo

Job Title and Salary

Data Scientist - Security Data & AI Lab

Salary: £48,987 - £54,430

Location: 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 & tell 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, escalade 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.

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.

Benefits

• 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 into 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. With 320 years under our belt, we’re used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you’ll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.