Data Science & AI Graduate Scheme (Bristol)

Lloyds Bank; Bristol; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A prominent banking institution in the UK seeks candidates for their Data Science & AI Graduate Scheme. This two-year program offers placements in areas such as fraud detection and credit risk, with a focus on ethical AI delivery. The ideal applicant will possess analytical skills, understanding of machine learning, and a dedication to innovation. The role includes a competitive salary, training, and mentorship in a hybrid work environment.

Benefits

Generous pension contribution – up to 15%

Annual bonus award

Share schemes – free shares

Discounted shopping

28 days holiday plus bank holidays

Well-being initiatives

Qualifications

• Strong analytical technique knowledge and experience in deriving insight from data.
• SQL proficiency and statistical modelling techniques.
• Ability to demonstrate sound knowledge and technical skills for the role.

Responsibilities

• Design and deploy machine learning models for fraud detection, credit risk, and customer segmentation.
• Engineer data pipelines and ML workflows for seamless model delivery.
• Learn to deliver AI ethically, addressing risks and governance.

Skills

Python

Machine Learning theory

Generative AI

AI solution design

Cloud platforms – GCP

CI/CD and DevOps

Data analysis and modelling

Business insights

Tools

TensorFlow

PyTorch

XGBoost

Apache Spark

Job description

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.