Data Scientist CV Example & Guide (2026)

CV Format & Layout

• Use reverse-chronological order so your most recent data & analytics experience appears first.
• Keep your CV to one or two pages — hiring managers spend an average of 7 seconds on an initial scan.
• Use clean section headings, consistent fonts, and generous white space. Avoid tables and columns that confuse ATS parsers.
• Save as PDF unless the job posting specifically requests a different format.

CV Header & Contact

• Lead with your full name and target title (e.g. "Data Scientist") directly below it.
• Include email, phone number, city (no full address needed), and LinkedIn URL.
• If relevant, add a link to your portfolio, GitHub, or personal website.
• Skip photos unless the local market expects them (common in parts of Europe).

Professional Summary

• Write 2–3 sentences that highlight your years of experience, core speciality, and a standout achievement.
• Tailor the summary to each application — mention the company name or specific data & analytics focus area.
• Include one measurable result (e.g. 'reduced build time by 40%' or 'managed a £2M budget').
• Avoid generic phrases like 'hard-working team player'. Be specific about the value you bring.

Work Experience

• List each role with company name, job title, location, and dates (month + year).
• Use 3–5 bullet points per role, starting each with a strong action verb (Led, Delivered, Designed, Optimised).
• Quantify achievements wherever possible — percentages, revenue figures, team sizes, deadlines met.
• Focus on impact rather than responsibilities. Instead of "Responsible for testing", write "Automated 200+ regression tests, reducing QA cycle from 3 days to 4 hours."
• Remove roles older than 10–15 years unless they are highly relevant.

Skills Section

• Split skills into two groups: technical/hard skills specific to data & analytics, and transferable soft skills.
• Mirror the exact skill keywords from the job description to pass ATS filters.
• List 8–12 skills maximum — quality over quantity.
• Consider adding proficiency levels or years of experience for key technical skills.

Education & Certifications

• Include degree title, institution name, and graduation year. Add grade/honours if strong.
• List relevant professional certifications, training courses, and industry qualifications.
• Place education after experience if you have more than 2 years of work history.
• Recent graduates can expand this section with relevant coursework, projects, or dissertation topics.

Frequently Asked Questions