End Date Sunday 14 December 2025
Salary Range 25000
Before you start your application please note alternative formats are available on request. Please contact us by emailing or calling on 0. If emailing please tell us how you would like us to respond - we can email back or call you to discuss any requirements or concerns you might have. We will get back to you as soon as we can but during busy times it might take up to 5 working days (Dont worry this wont affect your progress in the application process)
Job Description Summary
Prior to submitting your application please visit our early careers website to find out more about the schemes we offer and the recruitment journey : .
Our industrial placements may close early if we receive a high number of applications so its best to apply as soon as you can.
If you have any questions please do contact the team at
Job Description
Your AI era starts now
At Lloyds Banking Group data isnt just something we store in the cloud. Its 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.
On our Data Science & AI Industrial Placement you wont be on the sidelines watching the algorithms run the show. Youll be training models crafting algorithms deploying scalable solutions and showing exactly what AI can do in the real world. Whether youre optimising performance unlocking insight or making predictions everything you do will be rooted in data literacy ethics and genuine business impact.
Real impact from day one
This placement blends office and home working. Youll 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 be :
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 youll 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
Youll have the opportunity to gain hands‑on experience in some of the following :
- 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 AI power‑up
On joining youll fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots dont know yet).
You may 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
Its all 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 youll 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 whos been through it before
A close‑knit community of data professionals who speak fluent Python and coffee naturally
Your future. Fully funded
Youll earn a good salary while mastering the skills shaping the future of tech and finance.
By the end youll have increased technical confidence strategic mindset and industry know‑how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no‑one has thought of yet.
Requirements
What you need to apply
Youll be in your penultimate year at university.
While we do not require a set minimum projected degree achievement we strongly recommend the ability to be able to demonstrate sound knowledge understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process.
We are unable to offer sponsorship for this programme and you must have full unlimited right to work in the UK.
Knowledge of analytical techniques and experience in manipulating and deriving insight from coding experience knowledge of SQL and the ability to use statistical modelling techniques as this will form part of the assessments.
Locations
Choose from various UK locations including Edinburgh Bristol Manchester Leeds Halifax and London. Youll be based at an office in that region throughout your programme. With our hybrid working policy all colleagues are expected to spend a minimum of two days each week in the office.
Opening and Closing Date
Applications for our Data Science & AI Industrial Placement open on 24th September 2025.
Apply soon as our programmes may close early if we receive a high number of applications.
How to Apply
Our application process is designed to help you shine. We want everyone to feel they belong and can be their best regardless of background identity or culture.
Find details including stages and tips for success on ourhow to applypage.
At Lloyds Banking Group were driven by a clear purpose; to help Britain prosper . Across the Group our colleagues are focused on making a difference to customers businesses and communities. With us youll have a key role to play in shaping the financial services of the future whilst the scale and reach of our Group means youll have many opportunities to learn grow and develop.
We keep your data safe. So well only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. Well always explain what we need and why with any request coming from a trusted Lloyds Banking Group person.
Were focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together were building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Key Skills
- Client Server
- Abinitio
- Marketing and Merchandising
- LMS
- Bakery
Employment Type : Full-Time
Experience : years
Vacancy : 1
