CV examples / Technology & IT

Data Scientist CV Example

Employers hiring a Data Scientist usually screen for these skills first: Python, Machine learning and Statistics. This example shows how to present them clearly, with achievements you can adapt and a layout that applicant tracking systems read correctly.

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Professional summary example

Data scientist with [X] years building and deploying machine learning models that move business metrics.

Skills employers search for

Tools and systems

Personal strengths

Example achievements

Replace each [X] with your own numbers.

Turn duties into results

Weak

Made machine learning models

Strong

Deployed a demand forecast that reduced stock-outs by [X]% across [X] stores

Action verbs to start your bullet points

Typical education: Degree or MSc in a quantitative field

Common mistakes on a Data Scientist CV

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The builder opens with these skills and example achievements ready to edit. One column, ATS-friendly, PDF or Word.

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Cover letter opening line

I am applying for the Data Scientist role because it matches the work I do best, and I can show results in the areas this job asks for most.

Questions

What skills should a Data Scientist put on a CV?

Lead with the skills named in the job ad. For most Data Scientist roles these include: Python, Machine learning, Statistics and SQL, each backed by an example in your work history.

How long should my CV be?

Two pages is standard in Ireland and the UK. Keep the most recent and relevant roles in the most detail.

How do I show results as a Data Scientist?

Use the measures employers in this field recognise, such as predictive modelling, forecasting, NLP, and say what changed because of your work. Replace every [X] in the examples with your real figures.

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