Data Science · Internship

How to write a data science student CV for an internship

Internship recruiters know you're early-career — they're screening for relevant skills, enthusiasm and evidence you can contribute quickly. Here's how to do it as a data science student.

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What matters for an internship

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Relevance over length

Lead with the coursework, projects and skills closest to the internship — not a full history.

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Show potential

Enthusiasm, quick learning and initiative matter as much as a track record at this stage.

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A tailored summary

Two lines naming the internship area and what you bring beat a generic objective.

Data Science specifics

Data and analytics recruiters look for projects, statistical and programming skills, and the ability to turn data into insight. Frame it as a question and an insight: “Analysed 10k survey responses in Python to identify three churn drivers; visualised findings in a dashboard used by the society committee.”

Frequently asked questions

How do I write an internship CV with no experience?

Lead with education, projects and transferable skills, and tailor a short summary to the internship. See our no-experience guide.

How long should an internship CV be?

One page. Internship recruiters scan quickly, so keep it focused on the most relevant projects and skills.

What projects should a data science student CV include?

Two to four end-to-end projects that show the full pipeline — sourcing data, analysis, and a clear, communicated insight.

Data Science CV for other goals

Build your data science CV for an internship

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