
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading banking institution offers a Data Science & AI Industrial Placement in Manchester. This role provides hands-on experience in data analysis, machine learning, and the development of AI-driven solutions. The ideal candidate will be in their penultimate year at university, equipped with programming skills in Python and familiarity with machine learning concepts. This position promotes a hybrid working model and includes a competitive salary.
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)
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
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.
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.
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.
Youll have the opportunity to gain hands‑on experience in some of the following :
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 :
Its all real‑world challenges from day one.
Learn it. Apply it. Keep going
Your personal learning plan could include :
A dedicated mentor
A close‑knit community of data professionals who speak fluent Python and coffee naturally
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.
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.
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.
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.
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.
Employment Type : Full-Time
Experience : years
Vacancy : 1