Data Science & AI Graduate Scheme (Manchester)

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:

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• 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.
  

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• 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:

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• 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:

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• 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:

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

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• 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.

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• 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.

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• 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.