Lead Data Scientist in Edinburgh

Lead Data Scientist in Edinburgh

Edinburgh Full-Time 92701 - 109060 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead innovative data science projects to combat cyber threats using AI and machine learning.
  • Company: Join Lloyds Banking Group, a leader in digital transformation and cybersecurity.
  • Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
  • Other info: Inclusive workplace with a focus on diversity and excellent career development opportunities.
  • Why this job: Make a real impact in cybersecurity while growing your skills in a dynamic environment.
  • Qualifications: Experience in leading data science projects, especially in cybersecurity and machine learning.

The predicted salary is between 92701 - 109060 £ per year.

Salary Range: £92,701 - £109,060

We support flexible working – click here for more information on flexible working options.

Flexible Working Options: Hybrid Working, Job Share

Location: Edinburgh, Leeds, Manchester & Bristol

Hours: Full time (35 hours)

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. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

About this opportunity… At Lloyds Banking Group, we’re moving to the next stages of our digital transformation, and it’s our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO’s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK’s most data-rich environments.

What you’ll do...

  • Own the delivery of security outcomes, including defining and evolving approaches to anomaly detection that balance performance, explainability, and operational risk.
  • Lead a team of Data Scientists.
  • Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models.
  • Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP.
  • Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).
  • Contribute to the Data Science Community of Practice, helping shape best practices across the organisation.
  • Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions.

What you’ll need...

  • Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.
  • Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP).
  • Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.
  • Experience with LLMs and generative AI in production environments is highly desirable.
  • Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.
  • Excellent communication and customer engagement skills.
  • Innovators Mentality - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry.

It would be great if you also had… Understanding of the emerging threats within Cyber Security.

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 of up to 15%
  • 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.

Lead Data Scientist in Edinburgh employer: Lloyds Bank

Lloyds Banking Group is an exceptional employer, offering a dynamic work environment that champions innovation and inclusivity. With a strong focus on employee growth, we provide extensive benefits including a generous pension scheme, flexible working options, and a commitment to diversity, ensuring that every team member feels valued and empowered to contribute to our mission of shaping the future of financial services. Join us in one of our vibrant locations such as Edinburgh, Leeds, Manchester, or Bristol, where you can thrive in a supportive culture while making a meaningful impact.

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Contact Details:

Lloyds Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist in Edinburgh

Get Involved in Data Science Meetups

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Apply Directly through Our Website

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We think you need these skills to ace Lead Data Scientist in Edinburgh

SQL
Python
Communication Skills
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Lloyds Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyds Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Lloyds Bank

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyds Bank!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.