Lloyds Banking Group offers a two-year Data Science and AI Graduate Scheme with a £48,500 salary, funded professional training and opportunities in Bristol, Edinburgh, Leeds, London and Manchester.
Background & Job Description
Lloyds Banking Group is inviting applications for its Data Science and AI Graduate Scheme, a two-year programme for graduates interested in artificial intelligence, machine learning, data analytics and software engineering.
The programme sits within the group’s Chief Data & Analytics Office, which focuses on integrating data, analytics and AI into business decisions. Graduates will work on practical projects that use data and intelligent technologies to address challenges across banking and financial services.
The programme includes two year-long placements, combining technical development with hands-on experience. Potential projects include fraud detection, credit risk management, customer behaviour analysis, predictive modelling and the development of AI-powered banking solutions.
Successful candidates will receive a £48,500 annual salary, access to specialist training and funding for professional certifications.
Programme Overview
| Detail | Information |
|---|---|
| Organisation | Lloyds Banking Group |
| Programme | Data Science and AI Graduate Scheme |
| Duration | 2 years |
| Annual salary | £48,500 |
| Locations | Bristol, Edinburgh, Leeds, London and Manchester |
| Work arrangement | Hybrid office and home working |
| Placements | Two year-long rotations |
| Training | Technical bootcamp and personalised learning plan |
| Certifications | Opportunities including Stanford University Online programmes and Google Cloud certifications |
| Application status | Applications stated as open |
| Application deadline | Not specified in the supplied information |
| Official application | Lloyds Banking Group Careers |
Tasks and Programme Benefits
Graduates will apply data science and AI techniques to real business problems while developing technical skills and commercial understanding.
Potential areas of work include:
- Machine learning and predictive modelling: Developing and evaluating models that support fraud prevention, credit risk management and customer personalisation.
- Data engineering and cloud technologies: Building data pipelines and scalable solutions using modern cloud platforms and engineering practices.
- Advanced analytics: Using statistics and quantitative techniques to identify patterns, generate insights and support better decisions.
- Generative AI: Exploring applications involving large language models, retrieval-augmented generation and AI agent frameworks.
- MLOps and automation: Supporting reliable deployment, monitoring and automation of machine learning systems.
- AI assurance and governance: Evaluating models, monitoring performance and applying principles of fairness, transparency and responsible AI.
The programme covers technologies and tools including Python, SQL, Google Cloud Platform, Spark, scikit-learn, TensorFlow, PyTorch and XGBoost. Exposure to particular tools and projects will depend on the placement.
Technical Training and Professional Development
The programme begins with a blended learning bootcamp covering machine learning foundations, databases, big data, neural networks, deep learning, generative AI, agentic AI, cloud computing and MLOps.
Participants may also have access to a personalised learning plan that includes up to three Stanford Artificial Intelligence Professional Programmes, Google Cloud certifications and Coursera courses covering subjects such as advanced machine learning and AI ethics.
Other benefits include a dedicated mentor, a community of data professionals and opportunities to contribute to additional projects beyond the main role.
Qualifications and Eligibility
The supplied programme information does not provide the complete academic eligibility criteria under its “What you need to apply” section. Applicants should consult the official careers page for the current degree, academic performance, graduation date and other entry requirements.
The programme is particularly relevant to candidates interested in developing skills in:
- Python programming and SQL.
- Data analysis, statistics and machine learning.
- Generative AI and AI agent systems.
- Cloud platforms and data engineering.
- AI solution design, evaluation and deployment.
- Responsible AI, model governance and explainability.
Applicants should also consider the location requirements, as the scheme is based in one of five UK cities and may require regional flexibility during the programme.
Additional Information
Lloyds Banking Group states that applications are open. However, the supplied page does not specify an application closing date, so candidates should check the official listing for the latest recruitment timeline.
Available locations: Bristol, Edinburgh, Leeds, London and Manchester.
How to apply: Visit the official Data Science and AI Graduate Scheme page. Review the eligibility criteria and application instructions before submitting your application.
The programme offers hybrid working, but applicants should be prepared to work across office and home settings in line with the group’s policy.
Frequently Asked Questions
1. What is the Lloyds Banking Group Data Science and AI Graduate Scheme?
It is a two-year graduate programme that develops technical and professional skills in data science, machine learning, AI engineering and analytics within a banking environment.
2. How much does the graduate scheme pay?
The advertised salary is £48,500 per year, alongside additional benefits.
3. How long does the programme last?
The scheme lasts two years and includes two year-long placements.
4. Where are the graduate positions based?
The listed locations are Bristol, Edinburgh, Leeds, London and Manchester.
5. What technical skills can graduates develop?
The programme covers Python, SQL, machine learning, Google Cloud technologies, generative AI, data engineering, MLOps and AI evaluation, among other areas.
6. Does Lloyds Banking Group fund professional training?
Yes. The programme includes funded training and opportunities to pursue certifications, including Google Cloud certifications and selected Stanford University Online programmes.
7. Is the programme hybrid?
Yes. The programme combines office and home working under Lloyds Banking Group’s hybrid working policy. Regional flexibility may also be required.
8. What is the application deadline?
The supplied information confirms that applications are open but does not state a closing date. Check the official careers page for the current deadline.
9. What qualifications are required?
The complete academic requirements are not included in the supplied webpage text. Applicants should consult the official listing for the latest eligibility criteria.
10. How can I apply?
Applications are handled through the Lloyds Banking Group Talent website.
Opportunities Feed Assessment
The Lloyds Banking Group Data Science and AI Graduate Scheme offers a strong starting point for eligible graduates who want to build careers in machine learning, cloud technologies and applied AI. Its £48,500 salary, two-year rotational structure, mentoring and funded training make it a notable opportunity for candidates interested in applying data science to real financial and business challenges.
Disclaimer: Opportunities Feed shares career and education opportunities for informational purposes. It is not affiliated with Lloyds Banking Group and does not recruit on the organisation’s behalf. Applicants should verify all eligibility criteria, application dates and other details through the official careers website.
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