Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train models, craft algorithms, and deploy scalable AI solutions in real-world scenarios.
- Company: Join Lloyds Banking Group, a leader in data-driven decision-making.
- Benefits: Blended working, mentorship, and access to top-tier AI training resources.
- Why this job: Make a real impact with data and AI while developing your skills in a supportive environment.
- Qualifications: Passion for data science, programming skills, and a desire to learn.
- Other info: Engage in exciting projects and build a network within a close-knit community.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Your AI era starts now
At Lloyds Banking Group, data isn’t just something we store in the cloud. It’s the 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, you won’t be on the sidelines watching the algorithms run the show. You’ll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you’re optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact.
Two years. Three game-changing rotations
This two-year programme blends office and home working. Across three eight-month placements, you’ll see 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, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.
- 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’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications.
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 like TensorFlow, PyTorch, and XGBoost.
- Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring.
- Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making.
- Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs.
- Design agentic AI systems that integrate autonomous decision-making and multi-agent collaboration, contributing to next-gen banking solutions.
- Innovate on Google Cloud Platform (GCP), scaling from experimentation to production.
- Learn to deliver AI in an ethical and responsible way, understanding AI risks, bias mitigation, explainability, and governance frameworks.
Your skills toolkit
You’ll master:
- Programming languages like Python
- Machine learning techniques and theory
- Generative and Agentic AI
- AI Solution design and evaluation techniques
- Cloud platforms like 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 from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don’t know yet).
You’ll cover:
- 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
It’s all live lectures, tutor-led group work and real-world challenges from day one.
Learn it. Apply it. Keep going
Your personal learning plan could include:
- Up to three Stanford Artificial Intelligence Professional Programmes
- Google Cloud certifications
- Coursera courses on everything from advanced ML to AI ethics and explainability
And because your career is more than your day job, you’ll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work.
The team in your corner
- A dedicated mentor
- A buddy who’s been through it before
- A close-knit community of data professionals who speak fluent Python… and coffee, naturally
Locations
Data Science and AI Graduate Scheme employer: Lloyds Banking Group
Contact Detail:
Lloyds Banking Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and AI Graduate Scheme
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Science & AI Graduate role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you’ve applied them in real-world scenarios. Practise explaining complex ideas simply, as communication is key in this field.
✨Tip Number 3
Showcase your projects! If you've worked on any data science or AI projects, make sure to highlight them during your interviews. Whether it’s a personal project or something from your studies, demonstrating your hands-on experience can set you apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Lloyds team.
We think you need these skills to ace Data Science and AI Graduate Scheme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science & AI Graduate Scheme. Highlight relevant projects, coursework, or internships that showcase your data literacy and technical abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can contribute to our mission at Lloyds Banking Group. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t shy away from mentioning your programming skills, especially in Python, and any experience with machine learning frameworks like TensorFlow or PyTorch. We want to see how you can apply these skills in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. Plus, you’ll find all the info you need about the programme there!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Data
Before the interview, brush up on key data science concepts and techniques relevant to the role. Be prepared to discuss your experience with programming languages like Python, machine learning frameworks, and any projects you've worked on that involved data analysis or AI.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach real-world problems using data and AI, and articulate your thought process clearly. This will demonstrate your analytical skills and ability to apply your knowledge practically.
✨Understand the Company’s Mission
Familiarise yourself with Lloyds Banking Group's goals around data and AI. Show enthusiasm for their mission to integrate data into decision-making and discuss how your values align with theirs, especially regarding ethics in AI and data literacy.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers. Inquire about the specific challenges they face in data science and AI, or ask about the technologies they use. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
