Data Science & AI Industrial Placement
Role details
Job location
Tech stack
Job description
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 Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.
A Machine Learning & AI Engineerdesigning 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., About The Role A new role in our Technology leadership, the Head of Data and Analytics is responsible for setting and driving the data strategy and fostering a culture of data excellence across MO. The roleholder will have the opportunity to shape and grow the data function...
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 data.Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form part of the assessments.