Data Science · First Job

How to write a data science student CV for your first job

Your first graduate-level job CV should convert your degree, projects and any experience into evidence you can do the role from day one. Here's how to do it as a data science student.

Free to start · ATS-friendly · PDF & DOCX

What matters for your first job

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Lead with your degree

Your qualification and strongest projects are your main proof this early.

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Turn study into skills

Frame coursework and projects as the practical skills the role asks for.

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Tailor to the role

Mirror the job description's language so both recruiters and ATS see the fit.

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

What goes on a CV for my first job?
Contact details, a short summary, education, projects, any experience (including part-time and volunteering) and skills. Our first-CV guide walks through it.
How do I stand out for my first job with little experience?
Quantify projects, tailor the CV to each role, and keep it to one clean, ATS-friendly page.
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.

Build your data science CV for your first job

Answer a few guided questions and download a tailored, ATS-friendly CV.

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