Data Science & AI Graduate Scheme

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you.

Duration
– 2 years

Salary
– £48,500 plus fantastic benefits

Locations
–Bristol,Edinburgh, Leeds, Halifax,Londonand Manchester.

You may need to have regional flexibility whilst on programme.

Mix office and home working with our hybrid working policy.

Qualifications
- Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals.

At Lloyds Banking Group,dataisn’tjust something we store in the cloud.

It’sthe juice that keeps ideas flowing, decisions sharper, and progress unstoppable.

Our Chief Data  & Analytics Office has one mission: weave data,analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data.

As a Data Science & AI Graduate, youwon’tbe on the sidelines watching the algorithms run the show.

You’llbe training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you’reoptimising performance, unlockinginsightor making predictions, everything you do will be rooted in data literacy,ethicsand genuine business impact.

This two-year programme blends office and home working. Across two year-long placements,you’llsee how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools.

You could become:

• A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems with machine learning techniques. Always with an ethical andaccuratelens.

• 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.

Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything from Spark and statistical methodsto domain knowledge and emerging

GenAIapplications.

• Cloud-native AI engineering and large-scale data platforms
  , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale.

• Advanced analytics, statistical learning and decision intelligence
  , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers.

• Machine Learning, predictive modelling and applied AI
  , developing, evaluating and ope rationalising models using state-of-the-art libraries and frameworks such as scikit-learn, Tensor Flow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation.

• Generative AI, Large Language Models and autonomous agent systems
  , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and Lang Chain, helping transform how the Bank serves customers and empowers colleagues.

• Data engineering, MLOps and intelligent automation
  , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise.

• AI assurance, evaluation science and model governance
  , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic…