Data Scientist salary in France

The average data scientist salary in France in 2022 is EUR 57,100 per year (EUR 4,758 per month, or EUR 1,098 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in France earn between EUR 37,100 and EUR 82,800 per year in 2022. 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 4,758 per month (gross) in 2022, based on an annual average of EUR 57,100. 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 37,100 and EUR 48,500 per year in 2022. 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 83,800 per year in 2022. France ranks 8 in the region with EUR 57,100/yr.

Whether EUR 57,100 per year is a good data scientist salary in France depends on cost of living, location, and career stage. This figure represents the 2022 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 57,100/yr is higher than 1 country and lower than 7 countries in the Europe region as of 2022. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.