Internships - Erasmus+
We encourage you to familiarise yourself with the general rules on the eligibility of students and PhD students for placements abroad published on the website of the International Relations Office of the University of Warsaw.
A questionnaire is also available on the website to help the Office staff find you a placement.
Traineeship in people analytics, data science and innovation in HR
General Information
Type of contract Traineeship
Who can apply? EU nationals eligible for our traineeship programme
Grant The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Closing date 01.04.2026
More INFORMATION
Your role
- develop statistical analyses and data science solutions and provide recommendations for strategic HR decision-making and policy development;
- contribute to exploring new tools and technologies, testing them and developing prototypes;
- support the development of a data-driven, evidence-based approach to HR by reviewing research literature, generating insights from available reports and tools, and training colleagues to integrate these into their work;
- contribute to transforming and visualising HR datasets for various projects and tasks.
Qualifications, experience and skills
- a bachelor’s degree or higher in data science, statistics, mathematics, computer science, human resources management, business administration, economics, social and organisational psychology, business information systems, business analytics or another relevant discipline;
- advanced skills in R, Python, SQL and/or another statistical programming language;
- excellent analytical and conceptual skills and an interest in complex technical content;
- a good knowledge of the MS Office package;
- an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.
- experience in people analytics/HR analytics;
- experience with R Shiny, Tableau and/or PowerBI;
- experience in data cleaning, data transformation and data visualisation;
- a sound, general understanding of information systems (IS) and information technology (IT); interest in digitalisation, AI and new technologies;
- familiarity or, better, direct experience, with agile methodologies.
Further information
Application and selection process
