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For Companies At a Glance
- Tasks: Design and deploy machine learning models to tackle real-world challenges in banking.
- Company: Join a leading financial institution embracing data science and AI.
- Benefits: Competitive salary, mentorship, Google Cloud certifications, and hands-on experience.
- Why this job: Make a real impact from day one while mastering cutting-edge AI technologies.
- Qualifications: Passion for data science, programming skills, and eagerness to learn.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Real impact from day one
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.
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, 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
You’ll 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, you’ll fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don’t 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
It’s 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, you’ll 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 who’s been through it before
- A close-knit community of data professionals who speak fluent Python… and coffee, naturally
Your future. Fully funded
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… or even inventing the next big thing that no-one has thought of yet.
Locations
Data Science and AI Industrial Placement Scheme employer: Lloyds Banking Group
Contact Detail:
Lloyds Banking Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and AI Industrial Placement Scheme
✨Tip Number 1
Network like a pro! Reach out to current or past employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss machine learning models, data pipelines, and AI ethics. Show us you know your stuff and can apply it to real-world problems!
✨Tip Number 3
Don’t just focus on your CV; practice your soft skills too! Communication and teamwork are key in our field. Try mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be one step closer to joining a community that’s all about innovation and collaboration.
We think you need these skills to ace Data Science and AI Industrial Placement Scheme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science and AI role. Highlight any relevant projects or coursework, especially those involving machine learning, Python, or cloud platforms like GCP.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and AI, and how you can contribute to our team. Be sure to mention specific technologies or methodologies from the job description that excite you.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve machine learning or data analysis.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward, and you’ll be able to keep track of your application status easily!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech
Make sure you brush up on the programming languages and tools mentioned in the job description, like Python, TensorFlow, and Apache Spark. Be ready to discuss how you've used these technologies in your projects or studies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using machine learning techniques. Think about specific challenges you've faced and how you approached them, especially in areas like fraud detection or customer behaviour analysis.
✨Understand Ethical AI
Since the role emphasises ethical AI, be prepared to discuss your understanding of AI risks, bias mitigation, and governance frameworks. Show that you’re not just technically savvy but also aware of the broader implications of your work.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the projects you'll be working on, or the company’s approach to innovation. This shows your genuine interest and helps you gauge if it’s the right fit for you.
