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 financial services with a commitment to innovation.
- Benefits: Earn a competitive salary while gaining hands-on experience and professional development.
- Other info: Enjoy a hybrid working model and a supportive community of data professionals.
- Why this job: Make a real impact in the AI era, solving complex problems with cutting-edge technology.
- Qualifications: Must be pursuing a Master's degree by September 2027 and have programming knowledge.
The predicted salary is between 30000 - 42000 £ per year.
Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the recruitment journey: www.lloydsbankinggrouptalent.com. Our graduate schemes may close early if we receive a high number of applications, so it's best to apply as soon as you can.
Your AI era starts now. On our Data Science & AI MSc Placement, 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.
This placement blends office and home working. 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.
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:
- 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
On joining, you'll fast track from fundamental concepts to advanced technologies and AI skills. Your personal learning plan could include use of platforms such as Coursera courses on everything from advanced ML to AI ethics and explainability.
A dedicated mentor, a buddy who's been through it before, and a close-knit community of data professionals who speak fluent Python.
You'll earn a good salary while mastering the skills shaping the future of tech and finance. By the end, you'll 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.
What you need to apply:
- This new programme is part of our strategic partnership with Bristol, Edinburgh, Manchester and Imperial London universities.
- We welcome applications exclusively from students who will have completed a Master’s Degree by September 2027 at one of the universities listed above.
- Knowledge of at least one modern programming language or framework.
- A genuine passion for technology and the drive to keep learning.
- We are unable to provide sponsorship and you must have full unlimited right to work.
Bristol and London - please ensure you apply to the correct vacancy. You'll 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.
Our vacancies are due to close 12th December, but 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 our how to apply page.
At Lloyds Banking Group, we're 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. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Data Science and AI Masters Placement Scheme (Bristol) employer: Lloyds Bank plc
At Lloyds Banking Group, we pride ourselves on being an exceptional employer, particularly for those embarking on our Data Science and AI Masters Placement Scheme in Bristol. Our hybrid work culture fosters collaboration and innovation, while our commitment to personal development ensures that you will gain invaluable skills and insights in the rapidly evolving tech landscape. With a dedicated mentor and a supportive community of data professionals, you'll have the opportunity to make a real impact from day one, all while enjoying a competitive salary and the chance to shape the future of financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science and AI Masters Placement Scheme (Bristol)
✨Tip Number 1
Get your networking game on! Connect with professionals in the data science and AI field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to reach out for informational chats. You never know who might have a lead on that perfect placement!
✨Tip Number 2
Practice makes perfect! Before your interview, run through common data science scenarios and technical questions. Use platforms like StudySmarter to brush up on your skills and get comfortable explaining your thought process. Confidence is key!
✨Tip Number 3
Show off your projects! If you’ve worked on any cool data science or AI projects, make sure to highlight them during interviews. Bring a portfolio or a GitHub link to showcase your work. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 4
Apply early and often! Our graduate schemes can close quickly, so don’t wait around. Head over to our website and submit your application as soon as you can. The sooner you apply, the better your chances of landing that dream placement!
We think you need these skills to ace Data Science and AI Masters Placement Scheme (Bristol)
Some tips for your application 🫡
Get to Know Us:Before you dive into your application, take a moment to explore our early careers website. It’s packed with info about the schemes we offer and the recruitment journey. Understanding our vibe will help you tailor your application to fit right in!
Show Your Passion:When writing your application, let your enthusiasm for data science and AI shine through. We want to see your genuine interest in technology and your eagerness to learn. Share any relevant projects or experiences that highlight your passion!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your skills and experiences at a glance.
Apply Early!:Don’t wait until the last minute to submit your application. Our programmes can close early if we get a lot of applications, so it’s best to apply as soon as you can. Head over to our website and get your application in!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Tech
Make sure you brush up on your programming languages, especially Python, and any machine learning frameworks mentioned in the job description. Be ready to discuss how you've used these tools in your projects or studies.
✨Show Your Passion for AI
Demonstrate your genuine interest in AI and data science during the interview. Share examples of personal projects, coursework, or relevant experiences that highlight your enthusiasm and commitment to learning in this field.
✨Understand Ethical AI
Since the role emphasises ethical AI practices, be prepared to discuss the importance of ethics in AI. Think about potential biases in algorithms and how they can be mitigated, and be ready to share your thoughts on responsible AI deployment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and AI. This shows your interest in the role and helps you gauge if the company culture aligns with your values, especially regarding innovation and collaboration.