Data Journalism Fellowship


The Hindustan Times, Mint, and How India Lives are looking for recent college graduates and early-career professionals to apply for a six-month paid Data Journalism Fellowship beginning June 1, 2018, and ending November 30, 2018. You must be an Indian national to be eligible.


About the fellowship

The fellowship pays Rs 35,000 per month. Fellows will spend four months in New Delhi, India — two with the Hindustan Times data team and two with How India Lives — and two months in Mumbai, India, with Mint’s data team. Fellows will help research and produce stories for these publications while getting real-world experience in the following fields:

  • Journalism
    Writing news stories, conducting interviews, and thinking about data in terms of stories.
  • Gathering data
    Scraping data from the web, collecting information through Right To Information requests, and finding data from public sources.
  • Understanding data
    Making sense of key Indian datasets and understanding the process by which they are generated.
  • Analysing data
    Using spreadsheets and programming languages like R, Python and JavaScript to extract interesting, meaningful stories from datasets.
  • Visualising data
    Building interactive, browser-based visualizations that let you gain insights about data and communicate those insights to readers.
  • Web development and design
    Designing and creating webpages to display your stories on all sorts of devices.

About you

Successful applicants will be smart, driven, inquisitive, and excited about journalism, data, and design. There are no specific experience qualifications, but successful applicants will be able to demonstrate a previous interest in current events and in working with data.

Apply Online

Applications are due by February 28, 2018. Our decision will be announced by March 31, 2018. If you want to apply but have some questions first, please send an email to

Apply now!
P.S. — We support open source code. We even put this job posting on GitHub.

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