Data scientist resume template

A data science resume earns interviews with decisions, not dashboards: the churn model that lifted retention, the pricing study that moved revenue, the experiment guardrails a company now trusts. This template's plotted headings and tabular dates keep that evidence scannable — one clean column that parses exactly as it reads.

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Built for

✓Data scientists in product, growth and pricing roles
✓Analysts stepping up into modelling-heavy positions
✓ML-adjacent scientists who ship decisions, not just models

What you get

✓Live on-page editing — click any text and type, paginated like the final PDF
✓Selectable-text PDF export with clickable email and portfolio links
✓AI import: upload your old resume PDF and land in this template, editable
✓Scored 94/100 — interview-ready against the 30 published rules, measured by exporting this exact template. Certified: we only badge templates at 90 or above, a stricter bar than the 85 our checker calls interview-ready, so the design leaves headroom for your own content.

Callum Franklin

Data Scientist — Growth & Pricing

callum.franklin@example.com·+44 7700 900412·London, UK·callumfranklin.com/callumfranklin

Summary

Data scientist who turns messy event logs into revenue decisions — churn, pricing and experimentation for a 9M-subscriber streaming business, with every model tied to a shipped decision and a measured lift.

Experience

Senior Data Scientist — Streamly (subscription streaming)

04/2022 – Present

Built the churn early-warning model (XGBoost, 92 features) — save-offer targeting lifted 90-day retention 6.4% across 9M subscribers
Ran price-elasticity analysis across four plan tiers; the resulting repack added £7.1M annualised revenue at flat churn
Designed the experimentation guardrail suite (CUPED, sequential tests) — false-positive launches down 70% across 200+ A/B tests a year
Mentor three analysts; run the weekly decision review where models meet the P&L

Data Scientist — Cartova (e-commerce)

07/2019 – 03/2022

Uplift model re-allocated £600k of coupon spend to persuadable users — incremental orders up 9%
Automated the daily demand forecast (Prophet, then LightGBM); stockouts on the top 500 SKUs down 23%

Skills

ModellingPython · XGBoost · causal inference · uplift modelling · forecasting · SQL

DecisionsA/B testing · CUPED · price elasticity · cohort analysis · Tableau · dbt

Education

MSc Statistics — London School of Economics2019

Frequently asked questions

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Will my PDF have selectable text for ATS systems?

Yes. Exports are generated by a real browser engine, so the PDF has true selectable text, embedded fonts, and clickable links — the things resume parsers need.

Can I switch templates without retyping anything?

Yes — your content and the design are stored separately, so switching templates re-flows the same content instantly and losslessly. Try every one of them.

What should a data scientist resume lead with?

The decision your work changed, with the number attached — retention lifted, revenue added, spend re-allocated. Name the method (uplift model, CUPED, elasticity study) inside the bullet; recruiters searching for techniques find it, hiring managers see the outcome first.

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