Data Scientist salary in Estonia

The average data scientist salary in Estonia in 2022 is EUR 41,900 per year (EUR 3,492 per month, or EUR 806 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in Estonia earn between EUR 27,200 and EUR 60,800 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 Estonia earns approximately EUR 3,492 per month (gross) in 2022, based on an annual average of EUR 41,900. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Estonia.

Entry-level data scientists in Estonia typically earn between EUR 27,200 and EUR 35,600 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 Estonia have grown by approximately 22% 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. Estonia ranks 9 in the region with EUR 41,900/yr.

Whether EUR 41,900 per year is a good data scientist salary in Estonia 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.

Estonia's data scientist salary of EUR 41,900/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.