Data Science and AI Graduate Scheme

Duration

2 years

£45,000 + fantastic benefits

Bristol, Edinburgh, Leeds, Chester, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy.

Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals.

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.

Two years. Three game‑changing rotations. This two‑year programme blends office and home working. Across three eight‑month placements, you’ll 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.

• A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.
• A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.

• Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like Tensor Flow, PyTorch, and XGBoost.
• Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring.
• Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision‑making.
• Explore and evaluate Generative AI applications, including prompt engineering, fine‑tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs.
• Design agentic AI systems that integrate autonomous decision‑making and multi‑agent collaboration, contributing to next‑gen banking solutions.
• Innovate on Google Cloud Platform (GCP), scaling from experimentation to production.
• Learn to deliver AI in an ethical and responsible way, understanding AI risks, bias mitigation, explainability, and governance frameworks.

• Programming languages like Python
• Machine learning techniques and theory
• Generative and Agentic AI
• AI Solution design and evaluation techniques
• Cloud platforms like GCP
• CI/CD, Dev Ops and software engineering
• Data analysis, modelling and strategic design
• Business and commercial insights

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 don’t know yet).

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

It’s all live lectures, tutor‑led group work and real‑world challenges from day one.

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

• A dedicated mentor
• A buddy who’s been through it before
• A close‑knit community of data professionals who speak fluent Python… and coffee,…