Data Scientist salary in Slovenia

The average data scientist salary in Slovenia in 2024 is EUR 48,000 per year (EUR 4,000 per month, or EUR 923 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in Slovenia earn between EUR 31,200 and EUR 69,600 per year in 2024. 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 4,000 per month (gross) in 2024, based on an annual average of EUR 48,000. 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 31,200 and EUR 40,800 per year in 2024. 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 91,100 per year in 2024. Slovenia ranks 9 in the region with EUR 48,000/yr.

Whether EUR 48,000 per year is a good data scientist salary in Slovenia depends on cost of living, location, and career stage. This figure represents the 2024 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 48,000/yr is below all other Europe countries tracked for this occupation in 2024. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.