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Lloyds Banking Group

Lead Data Scientist

Manchester
£92.7k – £109.1k/yr
Posted about 19 hours ago
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JOB TITLE: Lead Data Scientist

SALARY: £92,701 - £109,060

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.

About us…

Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too…

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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!

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Skills

Python
TensorFlow
PyTorch
Google Cloud Platform
Large Language Models
Generative AI
Anomaly Detection
Time-series Modelling
Deep Learning
Prompt Engineering
RAG Pipelines
Model Fine-tuning
Cybersecurity Analytics
MLOps
AI Ethics
Data Engineering

Location

Manchester, England, United Kingdom

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