Data Science & AI Graduate Scheme (Leeds)

End Date

Salary Range

Before you start your application please note alternative formats are available on request. Please contact us by emailing or calling on 0. If emailing please tell us how you would like us to respond - we can email back or call you to discuss any requirements or concerns you might have. We will get back to you as soon as we can but during busy times it might take up to 5 working days (Dont worry this wont affect your progress in the application process)

Job Description Summary

Job Description

Your AI era starts now
At Lloyds Banking Group data isnt just something we store in the cloud. Its the juice that keeps ideas flowing decisions sharper and progress unstoppable.

Our Chief Data & Analytics Office has one mission: weave data analytics and AI into every decision we make. The goal Simple. Every choice everywhere driven by data.

As a Data Science & AI Graduate you wont be on the sidelines watching the algorithms run the show. Youll be training models crafting algorithms deploying scalable solutions and showing exactly what AI can do in the real world. Whether youre optimising performance unlocking insight or making predictions everything you do will be rooted in data literacy ethics and genuine business impact.

Two years. Two game-changing rotations
This two-year programme blends office and home working. Across two year-long placements youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools.

You could become:

• A Data & AI Scientistuncovering insights making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.
• A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation CI/CD and modern cloud engineering practices.
• Wherever you land youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications.

The work you could be doing

• Cloud-native AI engineering and large-scale data platforms leveraging Google Cloud technologies and modern coding practices to design build and deploy intelligent solutions helping the Bank innovate rapidly and deliver value at scale.
• Advanced analytics statistical learning and decision intelligence applying quantitative techniques to uncover patterns generate insights and optimise outcomes enabling more informed decisions for both the business and its customers.
• Machine Learning predictive modelling and applied AI developing evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn TensorFlow PyTorch and XGBoost helping tackle complex challenges including in areas like fraud prevention credit risk management and customer personalisation.
• Generative AI Large Language Models and autonomous agent systems building next-generation AI applications using foundation models retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain helping transform how the Bank serves customers and empowers colleagues.
• Data engineering MLOps and intelligent automation creating resilient data pipelines scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices enabling AI solutions to operate reliably across the enterprise.
• AI assurance evaluation science and model governance designing rigorous testing monitoring and validation frameworks for machine learning models and agentic systems ensuring AI solutions remain robust trustworthy and aligned to the Banks strategic objectives.
• Responsible AI explainability and algorithmic governance applying principles of fairness transparency interpretability and risk management throughout the AI lifecycle helping maintain customer trust while delivering innovative AI capabilities.

Your skills toolkit
Youll master:

• Python & SQL
• Cloud platforms like GCP
• Data Analysis
• Machine learning techniques both theory and application
• Generative and Agentic AI
• AI Solution design and evaluation techniques
• CI/CD and DevOps

all delivered through a commercial lens

Your multi-week AI power-up
We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots dont know yet).
Youll cover:

• Foundations of machine learning
• AI literacy
• Ensemble methods & model optimisation
• Databases & big data
• Neural networks & deep learning
• LLM foundations engineering customisation and integration
• Generative and Agentic AI
• MLOps & cloud computing

Its all live lectures tutor-led group work and real-world challenges from day one.

Learn it. Apply it. Keep going
Your personal learning plan could include:

• Up to three Stanford Artificial Intelligence Professional Programmes
• Google Cloud certifications
• Coursera courses on everything from advanced ML to AI ethics and explainability

And because your career is more than your day job youll get stuck into side-of-the-desk projects to build your network test fresh ideas and put your creativity to work.

The team in your corner

• A dedicated mentor
• A close-knit community of data professional who speak fluent Python and coffee naturally

Your future. Fully funded
Youll earn a good salary while mastering the skills shaping the future of tech and finance. Training Bootcamp Certifications All on us.
By the end youll have the technical confidence strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet.

Requirements
What you need to apply

• While we do not require a set minimum degree achievement we strongly recommend the ability to be able to demonstrate sound knowledge understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process.
• We encourage all students to apply from newly graduated through to MSc/PhD. Note: we cannot sponsor visas.
• Knowledge of analytical techniques and experience in manipulating and deriving insight from coding experience knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments.

Locations
Bristol Edinburgh Halifax Leeds London Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy.

Opening and Closing Date
Applications for our Data Science & AI Graduate Scheme opens on Thursday 10th September.
Apply soon as our programmes may close early if we receive a high number of applications.

How to Apply
Our application process is designed to help you shine. We want everyone to feel they belong and can be their best regardless of background identity or culture.

Find details including stages and tips for success on ourhow to applypage.

At Lloyds Banking Group were 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 youll have a key role to play in shaping the financial services of the future whilst the scale and reach of our Group means youll have many opportunities to learn grow and develop.

We keep your data safe. So well 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. Well always explain what we need and why with any request coming from a trusted Lloyds Banking Group person.

Were 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 were building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.