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Average Data Scientist Salary in Lithuania for 2026

A data scientist in Lithuania earns about 63,480 EUR a year. That's 58% above the national average of 40,240 EUR.

Pay ranges widely from country to country and from role to role. The lowest reported salaries in Lithuania sit around 32,020 EUR a year, while the very top stretches to 102,380 EUR. Everything on this page is in Euro (EUR, symbol €), which lets you compare numbers like-for-like without worrying about exchange rates.

The numbers here are pulled together from official government wage data, large independent salary surveys, and aggregated worker-reported pay. Most reported salaries include the benefits that are common in Lithuania, such as housing or transport allowances, which is worth keeping in mind if you're comparing against a country where those are usually paid on top.


How much does a data scientist make in Lithuania?

Average salary
63,480 EUR
5,290 EUR per month
Lowest reported
32,020 EUR
2,668 EUR per month
Highest reported
102,380 EUR
8,531 EUR per month

A typical data scientist working in Lithuania brings home around 5,290 EUR a month before tax. Entry-level pay starts near 32,020 EUR, and the top of the ladder reaches roughly 102,380 EUR for the most experienced and specialised people in the role.

The wide gap between low end and top end reflects how much pay can vary inside the same job title. A junior data scientist working at a small local employer earns very different money from a senior at a multinational. Skills, employer, city and years in the seat all push the number around. For a cross-country comparison, see the data scientist salary in Belgium or Netherlands, both of which pay in the same currency.


How data scientist pay ranges in Lithuania

A good way to think about salary in Lithuania is to look at the distribution rather than the headline average. Half of all data scientists in Lithuania earn less than 66,120 EUR a year, and the other half earn more. That middle number is the median, and it is usually more useful than the average for answering "is my pay normal here".

Looking at the quartiles fills in the picture. A quarter of earners take home less than 45,560 EUR (the 25th percentile), and a quarter clear 87,940 EUR (the 75th percentile). The middle 50% of data scientists sit somewhere inside that band, which is where the typical reader of this page probably lives.

The very lowest reported salaries sit around 32,020 EUR. The highest stretch to 102,380 EUR, though only a small fraction of earners ever reach that level. If you are deciding whether your own offer or current pay is reasonable, work out which of those four bands you would fall into and use that as your reference point.

32,020
Low
66,120
Median
102,380
High
45,560
25th
87,940
75th
The middle 50% sit between the 25th and 75th percentile Tails are the lowest and highest reported All figures in EUR

Data scientist pay by experience in Lithuania

Years of experience is the single biggest lever on pay for a data scientist in Lithuania, ahead of education and almost any other single factor. The longer you have been in the role, the more your employer can trust you to handle complexity, mentor others and act independently, all of which command higher pay. The chart below shows how the typical data scientist salary changes as you move through the career ladder.

  • 0-2 Years
    33,980 EUR
  • 2-5 Years
    +40% from previous
    47,580 EUR
  • 5-10 Years
    +44% from previous
    68,360 EUR
  • 10-15 Years
    +23% from previous
    83,760 EUR
  • 15-20 Years
    +6% from previous
    88,620 EUR
  • 20+ Years
    +9% from previous
    96,720 EUR

The single largest jump on the ladder is from 2 - 5 Years to 5 - 10 Years, where pay rises by about 44%. That is the point at which a data scientist typically goes from "competent in the role" to "the person other people in the team learn from", and the market pays well for that step.


Data scientist pay by education in Lithuania

Education sits alongside experience as one of the biggest factors driving data scientist pay in Lithuania. Higher qualifications consistently pull higher salaries, but the size of the gap tends to be smallest at junior levels and widens as people move up. Two people in the same role with the same years of experience but different degrees can end up earning very different money once they reach mid-career.

Below is the average data scientist salary in Lithuania broken down by the highest level of education a worker has completed.

  • Bachelor's Degree
    45,580 EUR
  • Master's Degree
    +47% from previous
    67,120 EUR
  • PhD
    +39% from previous
    93,120 EUR

Data scientist gender pay gap in Lithuania

The gender pay gap is a stubborn feature of almost every labour market, and Lithuania is no exception. Male data scientists in Lithuania earn an average of 65,800 EUR a year, while female data scientists earn around 61,780 EUR. That works out to a 7% gap in favour of men, even when comparing people doing the same work.

A pay gap of this size has a real long-term cost. Over a typical thirty-year career it can add up to several years of pay, and it compounds through pensions, retirement contributions and bonus-linked stock. Some of the gap is explained by women being more likely to work part-time, take career breaks, or be steered toward lower-paying specialisations. Some of it is straightforward unequal pay for the same job, which is harder to defend.

Data Scientist gender pay gap

6%

Men earn this much more than women on average in Lithuania.

Men 65,800 EUR
Women 61,780 EUR

Pay raises for a data scientist in Lithuania

Most countries hand out at least some kind of pay raise every year, typically when an employee's contract is reviewed or as a cost-of-living adjustment to keep wages roughly in step with inflation. The rhythm and size of those raises varies hugely between industries.

A typical worker doing this role in Lithuania sees a raise of about 12% every 18 months, which works out to roughly 8% on an annual basis. That figure is the typical underlying rate; in years where inflation runs high you can usually expect a bit more, and in flat-economy years a bit less.

Across all jobs in Lithuania, the national average raise is around 8% every 18 months.

By industry

Industries with the highest pay raises in Lithuania:

  • Banking
  • Energy
  • Information Technology
  • Healthcare
    1%
  • Travel
  • Construction
  • Education

By experience level

Experienced workers tend to see larger raises. Retaining a senior is cheaper than replacing them, so employers fight harder for them.

  • Junior Level
    3% - 5%
  • Mid-Career
  • Senior Level
  • Top Management

Data scientist bonus rates in Lithuania

Bonuses are the other half of total compensation, and they vary a lot between jobs and industries. Some roles are paid almost entirely in base salary; others lean heavily on bonus structures tied to revenue, project completion or company performance. Whether a job pays a bonus, how big it is, and how often it lands all factor into whether the headline salary is actually a good offer.

57%

57% of data scientists in Lithuania reported a bonus of some kind in the past twelve months. That makes a data scientist a moderate-bonus role overall, which is useful context when you're weighing up a job offer where the base is below market.

Among those who did receive a bonus, the size of the payment varied substantially. Reported bonuses ranged from 2% to 7% of base salary. The remaining 43% of data scientists reported no bonus at all over the same period.

Which careers pay bonuses in Lithuania

Revenue-facing roles tend to pay the biggest bonuses. Operational and support roles tend toward smaller, more predictable ones.

  • Finance
  • Architecture
  • Sales
  • Business Development
  • Marketing / Advertising
  • Information Technology
  • Healthcare
  • Insurance
  • Customer Service
  • Human Resources
  • Construction
  • Transport
  • Hospitality

Data scientist: public vs private sector pay

Public-sector pay in Lithuania is about 9% more than private-sector pay for similar work. The private sector typically offers stronger upside and bigger bonuses; the public sector typically offers better benefits and stability.

Public vs private pay gap

9%

Public-sector workers earn this much more than private-sector workers in Lithuania on average.

Public sector 42,320 EUR
Private sector 38,680 EUR

Data scientist salary by city in Lithuania

Data scientist pay is not even across Lithuania. The chart below shows the highest-paying cities in the dataset, followed by the full location table.

  • Vilnius
LocationTypeAverageMedianRange
VilniusCity69,780 EUR75,500 EUR33,120-109,720 EUR


Data Scientist in Lithuania: FAQs

  • How much does a data scientist make per month in Lithuania?

    A data scientist in Lithuania earns about 5,290 EUR a month before tax, based on an annual average of 63,480 EUR.

  • What's the salary range for a data scientist in Lithuania?

    Entry-level data scientists in Lithuania start near 32,020 EUR. Top-end pay reaches around 102,380 EUR. The middle 50% of earners sit between 45,560 and 87,940 EUR.

  • Is the median data scientist salary in Lithuania higher or lower than the average?

    The median is 66,120 EUR, higher than the average of 63,480 EUR. Half of data scientists in Lithuania earn below the median, half earn above it.

  • What's the gender pay gap for data scientists in Lithuania?

    Men working as a data scientist in Lithuania earn around 7% more than women on average (65,800 vs 61,780 EUR a year).

  • Do data scientists in Lithuania get bonuses?

    About 57% of data scientists in Lithuania reported a bonus in the past 12 months. Reported bonuses ranged from 2% to 7% of base salary.

  • Do data scientists earn more in the public or private sector in Lithuania?

    In Lithuania, the public sector pays a data scientist about 9% more on average. Public-sector pay tends to be steadier; private-sector pay tends to offer bigger upside.

  • How often do data scientists in Lithuania get a pay raise?

    A data scientist in Lithuania sees a raise of around 12% every 18 months, equivalent to roughly 8% a year.