Internship in the field of foreign exchange rates and foreign business statistics

Valuable work: your role with us

• You gain insight into the work of a data scientist and/or economist statistician.
• We offer you the opportunity to apply and expand your skills and knowledge of programming languages (Python, R).
• You contribute to the integration of new data sources (e.g. web scraping, APIs).
• By designing and implementing innovative DQM processes and interactive visualisations (e.g. dashboards), you will contribute to the continuous improvement of our statistics.
• You engage intensively with the methodology of effective exchange rates and contribute to the continuous improvement of our statistics.
  
  

Unique assets: your skills and qualifications

• You are studying for a Bachelor’s degree (from the 4th semester onwards) or Master’s degree in economics, (business) informatics, statistics, data science or comparable
• You have a good knowledge of statistics/econometrics or data science.
• For working in the field of data science, you have good knowledge of programming languages such as R or Python.
• For working in the field of statistics/methodology, you bring good knowledge in economics, statistics and/or econometrics
• You are cooperative and willing to familiarise yourself with new topics on your own
  
  

Valuable work, generously rewarded

Remuneration and prospects

International work environment, varied tasks, targeted onboarding, opportunities for national and international exchanges, remuneration depending on your qualifications

New Work

Home office opportunities, feedback-culture, friendly and respectful working atmosphere, working hours: 39 hours/week, flexible and predictable working hours, flexitime system with additional work compensated by time off in lieu

Extra benefits

Canteen, good transport connections (bus and train), central location

Interested in enriching our team?

Then we look forward to receiving your application. If you still have any questions that you would like answered before you apply, simply get in touch with the contact person listed below.

For questions about the application process

[email protected]

For questions about the role

Dr. Andreas Dietrich, +⁠ 49 69 9566‑32563

[email protected]

Please use job ID 2026_0213_02 to apply by 31.05.2026 using our online application tool.