At a Glance
- Tasks: Dive into Data and AI, building dashboards and exploring data governance.
- Company: Join LHV Bank, a forward-thinking UK bank with a focus on innovation.
- Benefits: Gain hands-on experience in a supportive environment with growth opportunities.
- Other info: Collaborative culture with a focus on learning and professional development.
- Why this job: Make an impact in banking while learning about data quality and AI.
- 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 in London employer: LHV
LHV Bank Limited is an exceptional 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, interns will benefit from structured learning, mentorship, and exposure to real-world applications of Data and AI, all while enjoying a supportive work atmosphere that encourages personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Intern in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data & AI Intern in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at LHV will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at LHV
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress LHV.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show LHV that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
