Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into Data and AI, building dashboards and exploring data governance.
- Company: Join a leading bank with a focus on innovation and collaboration.
- Benefits: Competitive stipend, health programs, and a chance to grow your career.
- Other info: Perfect for curious minds eager to learn and make an impact.
- Why this job: Gain hands-on experience in a dynamic banking environment while shaping the future of AI.
- Qualifications: Analytical skills and familiarity with data tools like Excel, SQL, or Python.
The predicted salary is between 20000 - 30000 £ per year.
Location: 1 Angel Court, London EC2R 7HJ
Length of Internship: 8 weeks
Start Date: 15th June – 7th August 2026
Schedule/Hours: Monday to Friday, 9:00 – 17:00
Student Type: Penultimate or Final Year students
Suitable for students studying: Data Science, Computer Science, Business Analytics, Information Systems, Mathematics, Engineering, Economics, or related subjects at undergraduate or postgraduate level.
About the Role
This internship provides early-career talent with structured exposure to how Data and AI support the bank's priorities. The focus is on data quality, governance, operational resilience, dashboards, reporting, and safe AI enablement. It is ideal for students who enjoy technical learning and understanding how data informs business decisions.
Responsibilities
- Learn how Data and AI support the bank's priorities and wider business outcomes.
- Build or extend a simple data dashboard.
- Review selected Airflow and data warehouse pipelines to understand data movement.
- Use a simple data and governance checklist to assess ownership, alerting, and naming clarity.
- Participate in a small data and AI governance exercise.
- Build low‑code AI agents using templates in a safe, structured environment.
- Present findings and opportunities to the team.
Students Will Gain
- Exposure to real Data and AI work in a banking environment.
- Understanding of data quality, governance, and operational resilience.
- Experience with dashboards, pipelines, and data storytelling.
- Introductory experience with safe AI enablement and agent‑building.
- Insights into ownership, controls, and practical business use cases.
- Communication of technical and business insights clearly.
Person Specification
- Strong analytical and problem‑solving skills.
- Confidence working with data in Excel, SQL, Python, BI tools, or similar.
- Ability to understand structured processes and translate findings into clear outputs.
- Curiosity and willingness to learn.
- Strong attention to detail.
- Ability to work independently and collaboratively.
- Accountability and openness to feedback.
Nice to Have
- Familiarity with dashboards, databases, or reporting tools.
- Exposure to Python, SQL, Airflow, cloud tools, or low‑code/no‑code tools.
- Interest in AI governance, data governance, or operational resilience.
- Ability to bridge technical and business thinking.
Benefits
- Competitive stipend and opportunities to learn, grow, and progress professionally.
- Open and inclusive culture.
- Collaborative work environment.
- Access to health and wellness programs.
We are an equal opportunity employer and are committed to building a diverse workforce.
Data & AI Intern employer: LHV Bank
Contact Detail:
LHV Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Intern
✨Tip Number 1
Network like a pro! Reach out to your university's alumni or professionals in the field of Data and AI. A friendly chat can lead to valuable insights and even job leads.
✨Tip Number 2
Get hands-on! Build a small project or dashboard using data tools you’re familiar with. This not only sharpens your skills but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Practice your pitch! Prepare a brief summary of your skills and experiences related to Data and AI. Being able to communicate your value clearly can make all the difference in landing that internship.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are eager to join us. Plus, it shows your enthusiasm for the role and our company.
We think you need these skills to ace Data & AI Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & AI Intern role. Highlight any relevant coursework or projects in data science, computer science, or related fields to show us you’re a great fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how your background aligns with our focus on data quality and AI. Keep it engaging and personal – we want to get to know you!
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like Excel, SQL, or Python. If you've worked on any dashboards or data projects, let us know! We love seeing how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to see what you bring to the table!
How to prepare for a job interview at LHV Bank
✨Know Your Data
Before the interview, brush up on your knowledge of data quality, governance, and operational resilience. Familiarise yourself with how these concepts apply in a banking context, as this will show your genuine interest in the role and help you answer questions more confidently.
✨Showcase Your Skills
Be ready to discuss your experience with tools like Excel, SQL, or Python. Prepare specific examples of projects where you've used these skills, especially if they relate to building dashboards or working with data pipelines. This will demonstrate your technical capabilities and problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship and the team’s work. Inquire about the types of data projects they are currently working on or how they approach AI governance. This not only shows your curiosity but also helps you gauge if the role aligns with your interests.
✨Emphasise Collaboration
Highlight your ability to work both independently and as part of a team. Share examples of how you've successfully collaborated on projects or learned from feedback. This is crucial in a role that involves presenting findings and working closely with others.