Job Overview
At Lloyds Banking Group, data is the cornerstone of our decision‑making. Our Chief Data & Analytics Office unites data analytics and AI into every choice. We invite you to join our two‑year Data Science & AI Graduate Scheme, a rotating programme that blends office and home work across three eight‑month placements covering fraud detection, credit risk, customer behaviour, and smarter banking tools.
Role Options
You could become:
- Data & AI Scientist – uncover insights, predict, and solve complex problems with machine learning, always with an ethical lens.
- Machine Learning & AI Engineer – design and deploy robust ML systems, automating data science through CI/CD, cloud engineering, and modern practices.
The work you could be doing
- Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks such as TensorFlow, PyTorch, and XGBoost.
- Engineer robust data pipelines and ML workflows with Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring.
- Apply advanced deep learning, NLP, and statistical modelling to extract insights and drive decision‑making.
- Explore and evaluate Generative AI applications – prompt engineering, fine‑tuning, safety alignment – using Gemini, Claude, and OpenAI APIs.
- Design agentic AI systems that integrate autonomous decision‑making and multi‑agent collaboration for next‑gen banking solutions.
- Innovate on Google Cloud Platform, scaling from experimentation to production.
- Learn to deliver AI ethically, addressing risks, bias mitigation, explainability, and governance frameworks.
Your Skills Toolkit
You’ll master:
- Programming: Python
- Machine Learning theory and techniques
- Generative and Agentic AI
- AI solution design and evaluation
- Cloud platforms – GCP
- CI/CD, DevOps, and software engineering
- Data analysis, modelling, and strategic design
- Business and commercial insights
Your Multi‑week AI Power‑up
We start with a blended learning bootcamp. Your fast track covers fundamentals to advanced technologies and AI skills. Topics include:
- 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
Live lectures, tutor‑led group work and real‑world challenges from day one – learn, apply, and keep advancing.
Personal Learning Path
Possibilities include:
- Up to three Stanford AI Professional Programmes
- Google Cloud certifications
- Coursera courses on advanced ML, AI ethics, explainability
Team & Culture
- A dedicated mentor
- A buddy who’s been through it before
- A close‑knit community of data professionals proficient in Python
Future & Funding
You’ll earn a competitive salary while mastering skills shaping tech and finance. Training, bootcamp, certifications – all on us. By the end, you’ll have technical confidence, strategic mindset, and industry know‑how to pursue deep technical roles, AI strategy leadership, or innovate new solutions.
Benefits
- Generous pension contribution – up to 15%
- Annual bonus award (subject to group performance)
- Share schemes – free shares
- Discounted shopping
- 28 days holiday plus bank holidays
- Well‑being initiatives and generous parental leave policies
Requirements
While we do not require a set minimum degree achievement we strongly recommend the ability to demonstrate sound knowledge, understanding and technical skills aligned to the role. Candidates will be assessed through the application process.
- Eligible from newly graduated through to MSc/PhD
- Strong analytical technique knowledge and experience in deriving insight from data
- SQL proficiency and statistical modelling techniques
- Full, unlimited right to work in the UK – we cannot sponsor
Locations
Bristol, Edinburgh, Halifax, Leeds, London, Manchester. Expected to work at office a minimum of two days a week as part of hybrid policy.
Application
Applications open 24th September 2025. Apply soon – programmes may close early.
Find details, stages, and tips on our “how to apply” page.
Employment Type & Vacancy
Full‑time. Vacancy: 1.
:quality(80))
:quality(80))
:quality(80))