Data Science & AI Graduate Scheme (Manchester)

Lloyds Bank
Manchester
3 months ago
Applications closed

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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.


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