Data Science & AI Graduate Scheme (Manchester)

End Date: Sunday 26 October 2025

Salary Range: £45,000

Location(s): Bristol, Edinburgh, Halifax, Leeds, London, Manchester. Minimum of two days per week in office as part of hybrid working policy.

At Lloyds Banking Group, data isn’t just something we store in the cloud – it fuels ideas, sharpens decisions and drives progress. Our Chief Data & Analytics Office’s mission is simple: weave data, analytics and AI into every decision we make, so every choice, everywhere, is data‑driven.

In this two‑year programme you’ll experience three eight‑month placements that cover fraud detection, credit risk, customer behaviour and building smarter banking tools.

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• A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques, always with an ethical mindset.
  
• 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.
  

Both roles work with some of the biggest datasets in the UK – from Spark and statistical methods to emerging GenAI applications.

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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 data pipelines and ML workflows with Apache Spark, Vertex AI and CI/CD tooling for seamless model delivery and monitoring.
  
• Apply advanced deep learning, NLP and statistical modelling techniques to extract insights and drive business decisions.
  
• Explore and evaluate generative AI applications, including prompt engineering, fine‑tuning and safety alignment using Gemini, Claude and OpenAI APIs.
  
• Design agentic AI systems that integrate autonomous decision‑making and multi‑agent collaboration to shape next‑gen banking solutions.
  
• Innovate on Google Cloud Platform (GCP), scaling solutions from experimentation to production.
  
• Deliver AI responsibly, understanding AI risks, bias mitigation, explainability and governance frameworks.
  

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• Programming languages: Python.
  
• Machine learning techniques and theory.
  
• Generative and agentic AI.
  
• AI solution design and evaluation techniques.
  
• Cloud platforms: GCP.
  
• CI/CD, DevOps and software engineering.
  
• Data analysis, modelling and strategic design.
  
• Business and commercial insights.
  

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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.
  
• MLOps & cloud computing.
  

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• Up to three Stanford Artificial Intelligence Professional Programmes.
  
• Google Cloud certifications.
  
• Coursera courses covering advanced ML, AI ethics and explainability.
  

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• Generous pension contribution of up to 15%.
  
• Annual bonus award, subject to Group performance.
  
• Share schemes including free shares.
  
• Benefits adaptable to lifestyle, such as discounted shopping.
  
• 28 days’ holiday, plus bank holidays.
  
• Wellbeing initiatives and generous parental leave policies.
  

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• No minimum degree required, but demonstrate sound knowledge, understanding and technical skills aligned to the role through the application process.
  
• Open to all students – from newly graduated to MSc/PhD.
  
• Knowledge of analytical techniques and experience manipulating and deriving insight from data. Python coding experience, SQL knowledge and statistical modelling skills are essential.
  
• Applicants must have full, unlimited right to work in the UK – sponsorship not available.
  

Applications for our Data Science & AI Graduate Scheme open on 24th September 2025. Apply soon as programmes may close early if we receive high numbers of applications. The process is designed to help all candidates shine and includes detailed stages and success tips on our website.

At Lloyds Banking Group, we are committed to building a workforce that reflects the diversity of the communities we serve. We keep your data safe and conduct background checks only after you have been formally invited to interview or accepted a verbal offer.