Data Science Internship
Working with real data: messy, incomplete, and inconsistent, and getting to a finding that holds up when someone questions it.
What the Data Science track is.
Clean datasets are a teaching fiction. Real data has missing fields, duplicated rows, and columns that mean something different than their name suggests. This track starts there.
You learn to explore data properly, query it with SQL, visualise it without misleading anyone, and present a conclusion you can still defend when someone pushes back on it.
What you’ll work with
Three real projects, not three tutorials.
Every project below produces something that works and that you can explain. They are scoped to be finished, not to look impressive on a syllabus.
An exploratory analysis of a messy dataset
Real data cleaned and explored, with every assumption you made about it written down.
A SQL-driven investigation
A question answered by querying a real database, including the joins and aggregations that get you there.
A findings report with honest visuals
Charts that represent the data fairly and a conclusion that states its own limitations.
What makes it worth your time.
You build, from day one
There is no classroom phase. You are given something real to build in your first week, and you build it.
Reviewed by a working engineer
Your work goes through review by someone who does this professionally, and you get told what is wrong with it.
Portfolio you can show
You finish with projects you can put in front of an employer and explain line by line, not a certificate alone.
Flexible around your studies
Short or long-term, remote, and scheduled around your academic calendar rather than against it.
Who this track is built for.
Students
Studying computer science or an adjacent field and want experience that looks like real work, not coursework.
Career changers
Moving into tech from somewhere else and need hands-on experience to make the move credible.
Self-taught developers
You have taught yourself the basics and want structure, review, and honest feedback on where you actually stand.
Fill out the application form and tell us what you’ve built.
Include anything you’ve built, broken, or measured yourself, a repo, a project, a course you finished. We care more about what you’ve actually attempted than where you’re studying. There are no fixed cohort dates; we take a small number of interns per track at a time.
Apply Now