What the program covers

Our data scientist buddy-up program matches you with a data scientist on a sizeable project.

The data scientist will help your organisation by using advanced data analytics and programming to help decision making and maximise your impact.

Our programs will suit you with the best data scientist for your particular project.

UPDATE: All the slots for the current round have now been filled. We will make an announcement when the next application window opens, which is likely to be early in the second quarter of this year. In the meantime we are working on increasing our data science partnership capacity to enable us to accept more applications in future.

What your organisation looks like:

  • You have a clear understanding of why and how your charity's work should achieve your objectives in terms of measurable impact on beneficiaries
  • You are currently collecting or have large digital data sets, or you wish to seek help finding new data
  • Right from the top of the organisation, you have leaders who are looking to use data to influence the future way the charity works, not just to report on historical activity

What the program does not cover:

  • This does not provide a full-time role – our data scientists are working pro bono
  • We do not provide financial help for data projects, eg the supply of hardware, software or servers

What you need to do to apply

  • Find out more about the Application Process for all the details you need.
  • Once you're ready to apply, the first step is to fill in our Expression of Interest (EoI) form here.
  • We'll be in touch. The program runs on a quarterly basis, so if you're not accepted this time around, we'll keep your details on file and try to match you in a subsequent round.

More information about the program:

Each data scientist will follow our process of:

  • Defining the challenge – clearly defined goals for the project and outcomes
  • Data collection – mining the relevant data
  • Rapid prototyping – creating the minimum viable prototype (the first working draft) and then doing rapid iterations (testing the drafts) and refinement (improving it)
  • Solution development – building the algorithms or application for final delivery