The Internship Program at World Data Lab aims to provide on-the-job training and an opportunity for young professionals to develop and broaden their professional skills and gain working experience in an international and fast-paced environment, all while making a significant impact on the world around them.
The Internship Program is designed for students enrolled in Bachelor’s, Master’s, or PhD (or equivalent) university programs, or recent graduates.
Internships can be on a part-time or full-time basis and generally range between three (3) to six (6) months
Join us in our offices in Vienna (Austria) or Nairobi (Kenya), or in a fully remote setting!
Side Note: Following the internship period, there is a possibility for extension/upgrade to junior status within the organizational structure based on operational requirements and successful completion of the internship.
Why Choose World Data Lab?
Be part of a team of highly motivated and like-minded individuals that work on meaningful, challenging projects that track SDG’s in real-time and help people and organizations make data-driven decisions on the world’s most challenging problems.
Work alongside global experts and renowned figures in various areas of expertise.
Eligibility for the Program
In order to apply for an internship, candidates must meet the following criteria:
Be proficient in the English language. Working knowledge of other languages is considered an added advantage
Be Currently enrolled in a Bachelor’s, Master’s, PhD or equivalent university program
Have knowledge of relevant areas of interest and/or tools and frameworks
Internship talks
Internships are offered in the following departments of WDL
Data Science
Tech
Business Development (incl. Communications, Marketing, & Sales)
Operations (incl. Strategic Business Development & Project Management)
Executive, Finance, and Human Resource Management
Application Procedure
World Data Lab accepts a limited number of internships each year. Therefore, interested applicants are encouraged to apply as soon as possible.