Data Scientist salary in Lithuania

The average data scientist salary in Lithuania in 2025 is EUR 43,100 per year (EUR 3,592 per month, or EUR 829 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in Lithuania earn between EUR 28,000 and EUR 62,400 per year in 2025. The spread reflects differences in experience level, employer size, sector (public vs private), and geographic location within the country.

A data scientist in Lithuania earns approximately EUR 3,592 per month (gross) in 2025, based on an annual average of EUR 43,100. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Lithuania.

Entry-level data scientists in Lithuania typically earn between EUR 28,000 and EUR 36,600 per year in 2025. 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 Lithuania have grown by approximately 23% 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 94,700 per year in 2025. Lithuania ranks 9 in the region with EUR 43,100/yr.

Whether EUR 43,100 per year is a good data scientist salary in Lithuania depends on cost of living, location, and career stage. This figure represents the 2025 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.

Lithuania's data scientist salary of EUR 43,100/yr is below all other Europe countries tracked for this occupation in 2025. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.