Data Scientist salary in Croatia

The average data scientist salary in Croatia in 2026 is EUR 46,100 per year (EUR 3,842 per month, or EUR 887 per week). This figure represents gross annual earnings before income tax and social contributions. Source: DZS average gross earnings 2026.

Data Scientists in Croatia earn between EUR 30,000 and EUR 66,800 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 Croatia earns approximately EUR 3,842 per month (gross) in 2026, based on an annual average of EUR 46,100. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Croatia.

Entry-level data scientists in Croatia typically earn between EUR 30,000 and EUR 39,200 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 Croatia have grown by approximately 21% 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. Croatia ranks 9 in the region with EUR 46,100/yr.

Whether EUR 46,100 per year is a good data scientist salary in Croatia 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.

Croatia's data scientist salary of EUR 46,100/yr is below all other Europe countries tracked for this occupation in 2026. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.