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Data Collection, Review and Analysis Internship

Datamaran


Job Location:

Leeuwarden - Netherlands

Salary: Not provided by the employer
Posted: 9 October 2026 (2 days ago)
Application Deadline: 6 January 2027
Vacancies: 1 Vacancy

Job Summary

About the internship
Our platform is only as good as the data behind it and you keep that data accurate. Youll join our database team to track the organizations we cover collect their annual and sustainability reports and review AI-assisted extractions of impacts risks and opportunities (IROs) from CSRD-aligned reports. The work is detailed and often repetitive but its the foundation of the insights we deliver to some of the worlds largest organizations.

In this role you will:

  • Review and annotate AI-assisted extractions of IROs from CSRD-aligned reports checking every one for accuracy

  • Find financial and sustainability reports on corporate websites upload them to our database and identify key sections such as the sustainability statement and CEO letter

  • Keep organization profiles up to date and clean the database

  • Work on your own AI project to improve the product the teams work or your own tasks

What youll learn
Youll get hands-on experience with real corporate reporting data and frameworks like CSRD and see how AI and structured data power a live governance intelligence platform. Youll get dedicated training in your first weeks daily team check-ins and a team buddy you can turn to at any time.

Who were looking for
You will thrive here if you:

  • Are following a bachelors or masters program in sustainability business economics data analytics or a related field

  • Enjoy close reading and structured detailed work and keep your accuracy high even on repetitive tasks

  • Speak and write fluent English

  • Are comfortable with Excel; interest in ESG reporting is a must and knowledge of CSRD is a plus


About Company

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Datamaran is the AI-powered governance platform for enterprise.Regulations change. Stakeholders shift. Markets move. Large organizations are expected to hold a clear defensible position on all of it and most still get there through slow manual work on fragmented signals.We turn regula ... View more

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