Statistiker/in

Erste Group Bank AGWien, FavoritenArbeitsagenturfoilsithe 16/09/2026
Riachtanach:PythonGitData
  • Location:Wien
  • Working hours:Part-time
  • Occupational Area:Risikomanagement
  • Company:Erste Group Bank AG

Your Tasks

  • Support the migration of existing credit risk model monitoring codes from SAS and Python to Databricks
  • Perform regression testing to ensure that migrated monitoring codes produce consistent and accurate results compared to existing solutions
  • Support the migration and development of dashboards for model monitoring and data quality monitoring
  • Document migrated solutions, testing results, and monitoring processes
  • Collaborate with colleagues across Credit Risk, CEE subsidiaries, and data and IT teams to support the transition to our new analytics environment

Your Background

  • You're currently studying at a university or university of applied sciences, ideally in Data Science, Computer Science, Statistics, Mathematics, Econometrics, Business Informatics, Finance, or another quantitative or technical field
  • You enjoy working with data and have an interest in statistical modelling, model monitoring, data analytics, or data engineering
  • You've worked with Python and/or SQL-or you're eager to strengthen your skills through hands-on experience
  • Experience with Databricks, PySpark, SAS, Git, Tableau, Power BI, or similar tools is an advantage, but not a prerequisite
  • You have an analytical mindset, pay attention to detail, and enjoy investigating differences in data and statistical results
  • You're comfortable communicating in English and working with colleagues across different teams and countries

Our Offer

  • Exciting and challenging internship for 12 months part-time (19.25h/week) starting in January 2027
  • Support of your professional and personal development in a dynamic, comprehensive and interes
  • Discover and enjoy the https://www.erstegroup.com/en/career/benefits of Erste Group
  • Internship salary: starting from EUR 2,745.32 gross per month (full-time equivalent; excluding mandatory internships as part of a university of applied sciences curriculum)
  • We offer our employees the opportunity to divide their hours between working from home and at the office
  • We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin

Apply now: https://ams.at/su/wVMoL