Data Scientist salary in France

The average data scientist salary in France in 2026 is EUR 66,500 per year (EUR 5,542 per month, or EUR 1,279 per week). This figure represents gross annual earnings before income tax and social contributions. Source: INSEE earnings index 2026.

Data Scientists in France earn between EUR 43,300 and EUR 96,400 per year in 2026. The spread reflects differences in experience level, employer size, sector (public vs private), and geographic location within the country.

A data scientist in France earns approximately EUR 5,542 per month (gross) in 2026, based on an annual average of EUR 66,500. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in France.

Entry-level data scientists in France typically earn between EUR 43,300 and EUR 56,500 per year in 2026. Salaries at the junior level are generally 15–35% below the national average, increasing with professional certifications, years of experience, and specialisation.

Yes. Based on available data, Data Scientist salaries in France have grown by approximately 16% between 2022 and 2026, reflecting ongoing demand and wage growth trends.

Among Europe countries in our dataset, Luxembourg offers the highest average data scientist salary at EUR 99,000 per year in 2026. France ranks 8 in the region with EUR 66,500/yr.

Whether EUR 66,500 per year is a good data scientist salary in France depends on cost of living, location, and career stage. This figure represents the 2026 national average — earners above this level are in the upper half of the pay distribution for this occupation. Factors that influence individual compensation include employer type (multinational vs. local), city (capital cities typically pay 10–25% more), qualifications, and years of experience.

France's data scientist salary of EUR 66,500/yr is higher than 1 country and lower than 7 countries in the Europe region as of 2026. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.