At a Glance
- Tasks: Dive into Data and AI, supporting banking priorities and building dashboards.
- Company: Join LHV Bank, a dynamic UK-licensed bank with a focus on innovation.
- Benefits: Gain hands-on experience, learn from experts, and enjoy a supportive culture.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in the banking sector while developing your data skills.
- Qualifications: Ideal for penultimate or final year students in relevant fields.
The predicted salary is between 20000 - 30000 € per year.
LHV Bank Limited is a UK-licensed bank operating across three core business segments: Retail Banking, SME Lending, and Banking Services (BaaS). The bank is a wholly owned subsidiary of LHV Group, a listed financial services provider headquartered in Estonia. LHV Bank operates under a full UK banking licence granted in May 2023. The Bank supports over 200 fintech clients with embedded financial infrastructure, provides retail savings products via digital channels, and offers SME credit solutions across the UK. In line with its regulatory responsibilities and growth ambitions, LHV Bank is committed to maintaining a robust and proportionate financial crime control environment. Expanding our services, LHV Bank now provides personal banking solutions. Our offerings include current accounts with competitive interest rates, fixed-rate bonds for long-term savings, and debit cards. Customers can conveniently access these services through the LHV App, enabling secure account opening and management.
Location of internship: 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
This role is particularly suited 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 is designed to give early-career talent structured exposure to how Data and AI supports the bank’s priorities. The work focuses on data quality, governance, operational resilience, dashboards, reporting, and safe AI enablement. It suits a student who enjoys both technical learning and understanding how data supports business decisions.
Main duties & responsibilities:
- Learn how Data and AI supports the bank’s priorities and wider business outcomes.
- Build or extend a simple data dashboard.
- Review selected Airflow and data warehouse pipelines to understand how data moves through the organisation.
- Use a simple data and governance checklist to assess areas such as ownership, alerting, and naming clarity.
- Take part in a small data and AI governance exercise.
- Build low-code AI agents using templates in a safe, structured environment.
- Present back to the team what you have learned and what opportunities you have identified.
Students will gain:
- Exposure to real Data and AI work in a banking environment.
- Better understanding of data quality, governance, and operational resilience.
- Experience with dashboards, pipelines, and data storytelling.
- Introductory experience with safe AI enablement and agent-building.
- Better understanding of ownership, controls, and practical business use cases.
- Experience communicating 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.
- Interest in data flows, dashboards, reporting, or AI tools.
- Ability to understand structured processes and translate findings into clear outputs.
- Curiosity and willingness to learn.
- Good communication skills.
- 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.
Data & AI Intern employer: LHV
LHV Bank Limited is an excellent employer for aspiring data professionals, offering a unique opportunity to gain hands-on experience in a dynamic banking environment located in the heart of London. With a commitment to fostering an open and inclusive culture, employees benefit from structured learning, professional growth opportunities, and a supportive team atmosphere. The internship provides exposure to real-world applications of Data and AI, ensuring that interns not only develop their technical skills but also understand how data drives business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Intern
✨Tip Number 1
Network like a pro! Reach out to current or former employees at LHV Bank on LinkedIn. A friendly chat can give us insider info and might just put your name on the hiring manager's radar.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Make sure you can talk confidently about your experience with Excel, SQL, or Python. We want to see that you're ready to dive into the data world!
✨Tip Number 3
Show off your curiosity! During interviews, ask questions about how Data and AI are shaping LHV Bank’s future. This shows us that you’re genuinely interested in the role and the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to go directly to the source.
We think you need these skills to ace Data & AI Intern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & AI Intern role. Highlight relevant skills like data analysis, programming languages, and any projects that showcase your understanding of data governance and AI tools.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data and AI in banking. Share specific examples of your experience and how it aligns with our mission at LHV Bank. Keep it concise but impactful!
Show Your Curiosity:In your application, let us know about your eagerness to learn. Mention any courses, workshops, or personal projects related to data science or AI that demonstrate your commitment to growing in this field.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at LHV
✨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 to banking and be ready to discuss how you can contribute to LHV Bank's priorities using your skills.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with tools like Excel, SQL, and Python. Bring examples of projects or coursework where you've used these skills, especially if they relate to dashboards or data pipelines. This will demonstrate your hands-on experience and technical prowess.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the role, the team, and LHV Bank's approach to data and AI. This shows your genuine interest in the position and helps you understand how you can fit into their culture and objectives.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. During the interview, focus on clear communication, especially when discussing your past experiences. This will highlight your ability to bridge technical and business thinking, which is crucial for the role.
