Applied projects
A business question, a dataset, and a success metric — algorithms second.
Internship
Data Scientist Internship
Practice modelling, evaluation, and storytelling on problems a hiring manager can review — business questions first.
12 weeks
Duration
3
Projects
Weekly
Mentorship
Remote
Format
What you get
What you will work on
Clean evaluation
Train/test splits, leakage checks, and a metric you can defend in a meeting.
Python toolkit
Pandas and scikit-learn used as a working analyst would, not a research lab.
Stakeholder story
What the score means, where it fails, and what a manager should do next.
Portfolio write-up
A short document hiring managers will actually read, plus the notebook.
Mentor challenge
Someone who will reject a flashy model that cannot be explained.
How we work
How the internship runs
Apply
Share your background, a short note on the track, and when you can start. We confirm fit within a few business days.
Onboard
Tools, working hours, communication norms, and your first dataset — so week one is not spent guessing.
Sprint
Weekly goals on a real business problem. You ship work, not attendance screenshots.
Mentor review
A scheduled review every week. You get written notes on what to fix before the next sprint.
Capstone
A portfolio piece you present: analysis pack, pipeline, or model — with assumptions written down.
Career prep
Interview walkthrough of your project, résumé notes, and how to talk about the work honestly.
Client stories
What interns say
My mentor killed the first model. The second one I could explain to a non-technical founder.
I came from Excel. Framing and evaluation were the skills I was missing.
The write-up mattered more than the notebook in my interviews.
Help centre
Frequently Asked Questions
Do I need a statistics degree?
No. Comfort with Excel or Python and a willingness to learn is enough to start. We teach the evaluation habits the role needs.
Is this remote?
Yes. Internships are remote-first, with live mentor sessions on a published calendar.
Is it paid?
Terms are confirmed per cohort. Some tracks include a stipend; others are project-based learning with a certificate and portfolio. We state this clearly before you accept.
How many hours per week?
Plan for 15–20 focused hours. Full-time blocks can be arranged for a shorter calendar.
Do I need a degree?
No. We look for evidence you can finish work: a small project, coursework, or a clear note on why this track.
Apply for the Data Scientist internship
Share a short note on why this track and any project you have already tried. We will confirm the next cohort.
Contact us