Data Scientist salary in Spain

The average data scientist salary in Spain in 2022 is EUR 49,500 per year (EUR 4,125 per month, or EUR 952 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in Spain earn between EUR 32,200 and EUR 71,800 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 Spain earns approximately EUR 4,125 per month (gross) in 2022, based on an annual average of EUR 49,500. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Spain.

Entry-level data scientists in Spain typically earn between EUR 32,200 and EUR 42,100 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 Spain have grown by approximately 18% 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. Spain ranks 9 in the region with EUR 49,500/yr.

Whether EUR 49,500 per year is a good data scientist salary in Spain 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.

Spain's data scientist salary of EUR 49,500/yr is below all other Europe countries tracked for this occupation in 2022. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.