Data Science & AI Industrial Placement

Your AI era starts now

At Lloyds Banking Group,dataisn’tjust something we store in the cloud.

It’sthe 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, youwon’tbe on the sidelines watching the algorithms run the show.

You’llbe training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you’re optimising performance, unlockinginsightor making predictions, everything you do will be rooted in data literacy,ethicsand genuine business impact.

Throughout this placement, you’ll do everything a Data & AI Scientist does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business.

• 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 ope rationalising models using state-of-the-art libraries and frameworks such as scikit-learn, Tensor Flow, 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 Lang Chain, 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 Bank's 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.

You’ll gain experience in:

• 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 andDev Ops

…all delivered through a commercial lens

• A chance to not just build on your existing knowledge but also grow in areas you’re interested in
• The opportunity to learn directly from software engineers and technical specialists who know what they’re doing

• Be in your penultimate year at university.
• While we do not require a set minimum projected 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.
• Knowledge of at least one modern programming language or framework.
• A genuine passion for technology and the drive to keep learning.

Bristol, Edinburgh, Leeds and Manchester. With our hybrid working policy, all colleagues spend at least two days a week in the office.

Applications open on 10th September and close on 8th November. Our opportunities may close early if we receive a high number of applications, so it’s best to apply as soon as possible.