At IDinsight we are using data science and software development to solve some of the world’s most urgent problems.

Join our growing Data Science, Engineering, and Monitoring Systems team and work on high-impact and innovative projects with governments, NGOs, social enterprises, and philanthropies. You’ll get to work on a wide variety of data science and engineering challenges in building data intensive technology solutions – from design to deployment. Along the way, you will get to work closely with our clients and our talented team of economists, public health specialists, and other social-sector experts to build and test solutions.

Learning is a critical part of growing as a technology professional. Ten percent of your time will be dedicated to learning new skills and taking on side projects of your choice. Additionally, our growing team will provide strong mentorship (from senior leaders at IDinsight and industry professionals) to help you grow professionally and maximize your social impact over the course of your career.

To learn more about the work of our DSEM team check out some of our recent blog posts on:

• A summary of recent project work building algorithms to make social services more accessible 
• An overview on how we approach building monitoring systems (Part 1 & Part 2)
• A glimpse inside some of the technical challenges we have tackled recently (GitHub Actions Blog, Open Sourcing PYSURVEYCTO and Data quality check for hierarchical linear data with outliers)

What sets IDinsight apart?

IDinsight helps leaders combat poverty worldwide by designing, deploying and promoting evidence-generating tools. We tailor the best methodologies to partner needs and constraints to fuse evidence with action. We serve governments, NGOs, foundations and social businesses across Africa and Asia in all major program areas including health, education, agriculture, livelihoods, finance, energy and governance. As a non-profit, we are laser-focused on enabling maximum social impact to improve millions of lives. Our approach rests on four pillars:

• Rigorous: We develop and use a wide-range of cutting-edge data and evidence tools, including experimental evaluations, monitoring systems, data analytics and visualization, process evaluations, machine learning and more.
• Cost-effective: Every dollar spent is justified by expected impact. If funds could be better used in another way, we say so.
• Timely: Actionable information is delivered in time for client decision-making deadlines.
• Demand-driven: We deploy solutions tailored to partner contexts and needs with no competing agendas.

Our diverse, growing team of outstanding colleagues operate in nearly two dozen countries around the world.