Junior Data Scientist (part-time, 12+ h/w)


Want to work at an innovative, young yet world famous data & software company? Datenna brings mission-critical insights to customers around the world by collecting & analysing huge quantities of data and identifying patterns and connections within that data.
Do you feel right at home collecting (scraping) data from various types of sources? If you welcome a challenge and don’t give up until the last bit of data is in, then apply by sending your resume to hr@datenna.com!
Datenna has a unique dataset containing more than 100 million entities in the Chinese industry and innovation landscape. We offer valuable insights into this data through our interactive front-end application. To be able to do this, Datenna uncovers all sorts of patterns and relationships in data using the latest AI, ML and Data Engineering techniques and technologies.

Job Description

  • You utilize all of your knowledge, intelligence and creativity to collect as much valuable data from public sources as possible.
  • You develop scrapers using our scraper code template, in order to hand the data to our data pipeline in a standardised form.
  • (Optional) You help improve our scraper code template based on new insights.
  • (Optional) You help identify new data sources.
  • (Optional) You use NLP techniques to extract specific knowledge from freeform text.

Who are you

  • You are studying AI/ML/Data Science/Data Engineering or something similar.
  • You are looking to apply your knowledge within an interesting company and gain valuable experience.
  • You have experience with programming in Python, also outside of Jupyter Notebook.
  • You welcome a challenge and don’t give up until the task is done.


  • Experience with web scraping
  • Experience with programming in Python
  • Available at least 12 hours a week (flexible, from home)


  • Knowledge of NLP/information extraction techniques
  • Experience with building data processing pipelines

    What we offer you

    • Valuable hands-on experience with a highly interesting real-life use-case for data science
    • A paycheck of 17,50 per hour
    • Last but not least: help build something that is world famous: WSJ