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An advisor hour was organized for 4th-year students with the aim of developing a clear understanding of labor market requirements for specialists in the fields of Data Science and Artificial Intelligence, as well as motivating students toward conscious professional positioning and active career preparation.

The event was supervised by curator-advisor G.A. Amirkhanova.

During the session, students were introduced to current labor market trends in Data Science and AI, participated in self-assessment of their professional competencies, and engaged in open discussions about future career opportunities and challenges.

The advisor hour was conducted in the format of a round-table discussion with interactive elements. At the beginning of the event, students participated in a warm-up activity called “One Word,” where they shared associations related to the Data Science job market. Their responses were recorded and discussed collectively.

The informational section included a multimedia presentation covering the current state of the labor market in Kazakhstan and internationally. Students learned about leading employers, востребованные technical and soft skills, employment formats, and career-start opportunities for young specialists. Special attention was paid to the importance of building a strong portfolio, participating in hackathons, maintaining GitHub projects, and the role of diploma projects in employment.

As part of the practical session, students completed a self-assessment questionnaire based on ten key competencies required for Data Science professionals. The results helped identify both strengths and areas for improvement within the group. Students identified Python, SQL, and classical machine learning algorithms as their strongest competencies, while cloud technologies, technical writing, and public project development were recognized as areas for further growth.

The open discussion section generated high student engagement. Participants discussed the differences between the roles of Data Scientist, ML Engineer, and Data Analyst, opportunities for remote work in international companies, the importance of internships and academic projects, and common barriers faced when searching for a first job.

At the conclusion of the event, each student developed an individual action plan outlining concrete steps for professional development and successful employment before graduation.

As a result of the advisor hour, students gained a structured understanding of the Data Science labor market, evaluated their professional competencies, and reflected on their future career paths. The educational aspect of the event emphasized respect for professional work, responsibility, and the importance of lifelong learning in the rapidly evolving field of digital technologies.

The event was conducted in an atmosphere of high student engagement and interest, becoming an important platform for professional self-determination among future Data Science and AI specialists.