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Data Scientist - Security Data Services

Lloyds Banking Group
Edinburgh, United Kingdom
Closing date
31 May 2024

Job Details

End Date
Thursday 30 May 2024

Salary Range
£66,861 - £74,290

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

Flexible Working Options
Hybrid Working

Job Description Summary

Job Description

JOB TITLE: Data Scientist - Security Data Services
SALARY: £68000 - £79500
LOCATION(S): Edinburgh, Manchester, Leeds and Halifax
HOURS: Full time
WORKING PATTERN: Hybrid, 40% (or two days) in an office site

About this opportunity

Do you want to be a hands-on developer in a strong team of scientists and engineers to support your ideas?

Have you got a keen curiosity about research and development but want to see your work implemented and giving real world benefit?

If this is you then we believe you could be just who our team is looking for.

Responsible for designing, developing and implementing data science & machine learning solutions, you will address large and small cyber security technology problems in our Chief Security Operations platform. Hands-on development through the entire data science life cycle from academic and industry research to crafting operational model pipelines will be a key component of your work.

You’ll be part of a growing team of Data Scientists and be directly interacting with your customers, prioritise multiple requests and educate business areas how to use data throughout the decision-making process and grow confidence in your ground-breaking solutions. You’ll help the Security Data Services lab play a pivotal role in building new Security Machine Learning capabilities for the CSO platform.

We can give you the opportunity to work with our collaborative, group wide community of data scientists at the hub of a ground-breaking AI and automation agenda.

You'll employ machine learning and data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new cloud platforms, how we keep the group secure to how to make technology data more consumable.

Key Accountabilities;

Here are some real examples of the work you could be doing:

  • Leading security machine learning product enhancements by using your data science and machine learning expertise.
  • Wrangling data from various sources (system and colleague activity log data stored across cloud and on-premise platforms)
  • Researching and developing predictive models using approaches new to the organisation and implementing into dedicated Security MLOps pipelines that ensure our infrastructure choices are secure, resilient, efficient and fast.
  • Developing new analytics and models that help us truly unlock the power of machine learning in protecting the group from internal and external threats derstand our colleague experience to improve the engineering choices we make.
  • Building capability to predict when and what ‘events of interest’ are likely to happen so that we identify root causes before security or infrastructure is impacted.
  • Being a hands-on researcher, designer and developer of industry leading techniques.

About us

We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.

We're building the bank of the future and developing the next generation of digital banking solutions securely. The Chief Security Office (CSO) plays a key role in delivering Lloyds Banking Group's vision of putting customers at the heart of everything we do, helping Britain prosper, and protecting the Group and its customers and suppliers from security threats. We define and communicate the Group's security strategy and provide dedicated support and constructive challenge to business areas to ensure the delivery of an effective and compliant security risk management framework.

What you’ll need

We're keen to speak to you if you're an established Data Scientist with proven practice in a related industry. Experience in a security or fraud related area would also be ideal, but not a pre-requisite. Interaction with the technical and engineering community both internally and externally (other companies, software vendors and universities for example) plays a key part in this role so you should be practised in these kinds of collaborations. You’ll also need to possess a developed communication kit bag - adept at conversing to technical/non-technical audiences and influencing widely.

  • Code using Python, SQL or similar languages and be familiar with modern data technologies such as Apache Spark, Hadoop and model workflow tools like MLFlow
  • Experience of developing and implement data science or machine learning into Cloud platforms with specific exposure to Azure Databricks, Kubeflow and Google Vertex AI being useful.
  • Hands-on experience of feature engineering, development, validation and implementation of modelling techniques. Experience of applying machine learning to cyber-security or other domains using monitoring and alerting in data streams is advantageous.
  • A validated understanding of data engineering for data science and machine learning. Familiarity with graph/NoSQL databases, relational data bases, data streaming and how these can be used to optimise model performance
  • An active curiosity about the ongoing development of data science techniques, cloud capability and technology. We want you to help us become an outstanding machine learning team!

About working for us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.

We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

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.

And it’s why we especially welcome applications from under-represented groups.

We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

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

A generous pension contribution

An annual bonus award, subject to Group performance

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

If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you.

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.


We’re creating an organisation that attracts, retains and develops the best talent in the industry, and one that openly embraces diversity too. But more than that – we want to be a great place to work.

We invest in our people, offering the best training and coaching, and by encouraging them to contribute to our leading corporate and social responsibility practices.

We offer flexible working hours and days, under our Work Options scheme. This means that you can have a challenging and rewarding career, and still have an ideal work/life balance.

Flexible working is at the heart of our strategy. We’re re-imagining where, when, and how our people work, with new approaches designed to meet the ever-changing needs of customers and colleagues. These include increasing our use of remote-working tools and technology, as well as placing less reliance on a 9-to-5 mindset. For many of our office-based colleagues, we work in hybrid ways which involves spending at least two days per week or 40% of their time at one of our office sites.

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