Data Science and Artificial Intelligence: Labor Market Analysis and Gender Inequality

P. 1–27.

Serova E., Frolova M.

The importance and role of modern technologies and Artificial Intelligence (AI) cannot be overestimated. AI and Data Science are developing rapidly and issues of gender inequality in this area are becoming of paramount importance. This paper is devoted to the analysis of gender inequality in AI and Data Science in Russia. The study examines differences in the expected wages between men and women, as well as their skills and educational levels, based on data from the HeadHunter platform. The results show that women have the same skills as men. However, by using linear regression, we reveal that there is a significant gender gap in expected salaries, indicating that women systematically underestimate their professional qualities compared to men. In the study, we first examine and analyze research, then formulate a theoretical framework. Based on the theoretical framework, we formulate hypotheses and justify the methodology. Afterwards we describe the stages and results of the analysis.

Keywords: labour market, Data Science, gender gap, Artificial intelligence (AI)

In book

Proceedings of the British Academy of Management Conference BAM 2025.Kent Business School, University of Kent. ISBN: 978-0-9956413-8-9

British Academy of Management, 2025.