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Data Science, Machine Learning and AI
See what work of data science related specialists looks like. Check what are the
average salaries
in this role.
Find out what are the most popular
Technologiess and techniques.
Since 2023, when the Data Science, Machine Learning, and AI specialization first appeared in the report with an additional detailed report, the relatively small community of specialists in this field (2 to 3% of respondents – only IT architects are fewer) has consistently been characterized by the highest level of education: in 2025, almost 52% of respondents have a second-degree education, and over 12% hold a PhD (with the average for this level of education not exceeding 1.5% in the entire surveyed population).
The specialty is still young—both in terms of work experience (an average of 5 years, three times less than, for example, IT Architects – although the rapid development path may also be the result of the highest involvement in using AI/ML tools) and age: almost 51% are in the 25-29 age group (the share of this age group among all respondents is about 30%).
A fast career path, interest in their field, and the lowest professional burnout also seem to determine the highest "loyalty" to their specialty: over 85% want to remain in it, even though it is not the highest paid: salaries remain in 4th place, which is in the middle-range. Women’s participation is also mid-range: with an average participation of about 20%, nearly 26% are women in this group.
In over 31% of cases, employment for Data Science, ML, and AI specialists is at very large companies (based on practical market observations, it can be assumed these are mostly IT departments or divisions of "non-IT" companies), while for the entire surveyed population, the dominant place of employment—with a similar percentage share—is medium-sized companies.
Since 2023, when the Data Science, Machine Learning, and AI specialization first appeared in the report with an additional detailed report, the relatively small community of specialists in this field (2 to 3% of respondents – only IT architects are fewer) has consistently been characterized by the highest level of education: in 2025, almost 52% of respondents have a second-degree education, and over 12% hold a PhD (with the average for this level of education not exceeding 1.5% in the entire surveyed population).
The specialty is still young—both in terms of work experience (an average of 5 years, three times less than, for example, IT Architects – although the rapid development path may also be the result of the highest involvement in using AI/ML tools) and age: almost 51% are in the 25-29 age group (the share of this age group among all respondents is about 30%).
A fast career path, interest in their field, and the lowest professional burnout also seem to determine the highest "loyalty" to their specialty: over 85% want to remain in it, even though it is not the highest paid: salaries remain in 4th place, which is in the middle-range. Women’s participation is also mid-range: with an average participation of about 20%, nearly 26% are women in this group.
In over 31% of cases, employment for Data Science, ML, and AI specialists is at very large companies (based on practical market observations, it can be assumed these are mostly IT departments or divisions of "non-IT" companies), while for the entire surveyed population, the dominant place of employment—with a similar percentage share—is medium-sized companies.