Získávání a výběr zaměstnanců ve společnosti PwC Česká republika, s.r.o

This master's thesis analyses the recruitment and selection process at PricewaterhouseCoopers (hereinafter PwC) Czech Republic, focusing on the role of artificial intelligence and the candidate experience. The aim is to identify strengths and weaknesses of the hiring process and formulate recommendations for its optimisation. The research employs a convergent parallel mixed-methods design combining a questionnaire survey among employees hired within the last 12 months (n = 76) and semi-structured interviews with Talent Acquisition team members and a hiring manager (n = 6). The findings confirm high candidate satisfaction with the recruitment process and a predominantly positive attitude towards AI, provided that human decision-making is preserved. AI at PwC is used exclusively as a supportive tool to enhance recruiter efficiency, not for autonomous candidate decisions. The primary identified deficit concerns the provision of feedback. Based on the triangulation of findings, the thesis formulates recommendations for process optimisation and responsible AI adoption, emphasising a balance between technological tools and human interaction.