puestos de Phd en Gran Bretaña

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.

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.

• 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.

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

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

Live lectures, tutor‑led group work and real‑world challenges from day one – learn, apply, and keep advancing.

Possibilities include:

• Up to three Stanford AI Professional Programmes
• Google Cloud certifications
• Coursera courses on advanced ML, AI ethics, explainability

• A dedicated mentor
• A buddy who’s been through it before
• A close‑knit community of data professionals proficient in Python

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.

• 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

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

Bristol, Edinburgh, Halifax, Leeds, London, Manchester. Expected to work at office a minimum of two days a week as part of hybrid policy.

Applications open 24th September 2025. Apply soon – programmes may close early.

Find details, stages, and tips on our “how to apply” page.

Full‑time. Vacancy: 1.