Data Scientist salary in Slovenia

The average data scientist salary in Slovenia in 2026 is EUR 52,900 per year (EUR 4,408 per month, or EUR 1,017 per week). This figure represents gross annual earnings before income tax and social contributions. Source: SURS earnings index 2026.

Data Scientists in Slovenia earn between EUR 34,400 and EUR 76,700 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 Slovenia earns approximately EUR 4,408 per month (gross) in 2026, based on an annual average of EUR 52,900. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Slovenia.

Entry-level data scientists in Slovenia typically earn between EUR 34,400 and EUR 45,000 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 Slovenia have grown by approximately 20% 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. Slovenia ranks 9 in the region with EUR 52,900/yr.

Whether EUR 52,900 per year is a good data scientist salary in Slovenia 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.

Slovenia's data scientist salary of EUR 52,900/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.