Data Science & AI Industrial Placement - Manchester

Your AI era starts now. At Lloyds Banking Group, data isn’t just something we store in the cloud. It’s 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 won’t be on the sidelines watching the algorithms run the show. You’ll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you’re optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and 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. You’ll be placed in a team working on:

• Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions.
• Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes.
• 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.
• Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models and retrieval-augmented generation (RAG) architectures.
• Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows.
• AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models.
• Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle.

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 and DevOps

You’ll get a chance to not just build on your existing knowledge but also grow in areas you’re interested in, with the opportunity to learn directly from software engineers and technical specialists.

Requirements:

Be in your penultimate year at university. While we do not require a set minimum projected degree achievement, we strongly recommend the ability to demonstrate sound knowledge, understanding and technical skills aligned to the role. Knowledge of at least one modern programming language or framework is essential. A genuine passion for technology and the drive to keep learning is also required.

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

Opening and Closing date: 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.