Predictive Analytics Team Lead

Partner UNOCHA
Job categories IT
Vacancy code VA/2019/B5004/17640
Level ICS-11
Department/office NYSC, SDC, Development and Special Initiatives Portfolio
Duty station Home based
Contract type International ICA
Contract level IICA-3
Duration 12 months (with possible extension)
Application period 27-Mar-2019 to 17-Apr-2019


Applications to vacancies must be received before midnight Copenhagen time (CET) on the closing date of the announcement.


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The United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has a Centre for Humanitarian Data in The Hague, the Netherlands which is focused on increasing the use and impact of data in the humanitarian sector. The vision is to create a future where all people involved in a humanitarian emergency have access to the data they need, when and how they need it, to make responsible and informed decisions.

The Centre has four work streams: data services, data policy, data literacy, and network engagement. The Centre’s data services work includes direct management of the Humanitarian Data Exchange (HDX) platform and the Humanitarian Exchange Language (HXL) data standard. For data policy, the Centre is developing guidelines for responsible data use; for data literacy, we offer on in-person and remote training programmes as well as a Data Fellows Programmes. Finally, the Centre engages an active community in support of its mission and objectives through a number events and communication activities.

One area of emerging interest in the humanitarian sector is predictive analytics: asking “what will happen” in a particular humanitarian context and using machine learning and the application of statistical modeling to arrive at an answer. When Mark Lowcock, the Head of OCHA, opened the Centre for Humanitarian Data in December 2017, he asked whether predictive analytics could be used to work out the next problem before it crystalizes so that humanitarians could act faster, cheaper and better to address it.

The Centre initiated its work in Predictive Analytics through the 2018 Data Fellows Programme, and has continued to invest in this area through sustained research into the development of models related to different aspects of humanitarian response. This includes ongoing projects to predicting funding allocations in South Sudan, and predicting needs related to the possible onset of El Niño in southern Africa.

There are a number of initiatives by partners to predict humanitarian need. As more organizations start investing in predictive analytics, there is an opportunity to promote improved coordination, collaboration, peer review, and collective investment in models as a public good.

The Predictive Analytics Team Lead will work to strengthen the Centre’s initial projects and develop a detailed plan for the Centre’s approach to predictive analytics. 

Reporting Relationships
The Predictive Analytics Team Lead will report to the Lead for the Centre for Humanitarian Data, who is based in The Hague. He or she will work closely with the Centre’s Data Partnerships Team, and the Coordinator for the Data Fellows Programme.



Oversee and provide strategic direction to the Centre’s predictive ana...

Education Advanced university degree (Master's degree or equivalent) in ...

Develops and implements sustainable business strategies, thinks long term and ex...

Contract type: International ICA Contract level: IICA-3/ICSC-11 Contract du...

Please note that the closing date is midnight Copenhagen time Applications ...

UNOPS is an operational arm of the United Nations, supporting the successful imp...
This vacancy is closed.
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