Data & AI Intern

Confirmed live in the last 24 hours

LHV Bank

London.

Hybrid

Posted April 21, 2026

Job Description

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.

Role Title: Data & AI Intern

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: