✓ ATS-Safe Template
Data Science & Analytics Resume — Graduate Template
Data science resumes thrive on specificity — model performance metrics, dataset scale, and business outcomes. Hiring managers want to see that you connect analytical work to real decisions and dollar-value results. The Graduate layout prioritises education and projects above experience — the right hierarchy for anyone entering the workforce fresh from university. It makes the most of academic credentials, research, and extracurricular leadership.
Why the Graduate layout works for data science & analytics roles
check_circleRecent university graduates
check_circleFinal-year students applying for graduate schemes
check_circlePhD candidates transitioning to industry
check_circleEarly-career professionals with strong academic backgrounds
Fully ATS-compatible. Education-first format is well understood by all ATS systems.
Key skills to include on your data science & analytics resume
ATS systems scan for these keywords. Make sure the ones that match your experience appear in your resume.
PythonSQLTensorFlowPyTorchPandasSparkscikit-learnTableauBigQuerydbtRJupyterA/B TestingMachine Learning
Writing tips for data science & analytics resumes
- 1Lead bullets with the metric: "Improved model accuracy from 78% to 91%, increasing revenue attribution by $2M."
- 2Mention dataset scale (rows, GB/TB) to convey the real scope of your work.
- 3Name the business stakeholders you influenced with your analysis.
Common job titles this template targets
Data ScientistData AnalystML EngineerData EngineerBI AnalystSenior Data ScientistAnalytics Lead
More Data Science & Analytics templates
Data Science & Analytics — Classic✓ ATS-Safe
Data Science & Analytics — Executive✓ ATS-Safe
Data Science & Analytics — Modern✓ ATS-Safe
Data Science & Analytics — Compact✓ ATS-Safe
Graduate templates for other Tech roles
edit_documentUse this template free →
Free · No account required · Export as .docx or PDF