is the bridge between Africa’s top talent and global business.

Africa has never lacked talent, just opportunity.

We offer global companies the ability to access an untapped talent pool: African Data Scientists. Ishango.ai run a fully-funded Data Science Fellowship Program: we take masters graduates from across Africa and give them the skills required by global business.

They are equipped and ready to tackle quantitative problems across sectors, industries, and continents. Check out our latest events: Here

What We Do

Ishango.ai is an innovative social enterprise bringing high skill data science jobs to Africa, and demonstrating the wealth of talent available on the continent.

We run a fully-funded, residential data science fellowship lasting 3 months. Along the way, we ensure fellows have the opportunity to expand their existing soft-skills and technical skills.

Fellows gain real world experience whilst working remotely, delivering value adding projects for global host organisations.

Get Involved

Fellows

Want to become a data scientist and get real world experience? Our programs are fully funded and completely free!

We are always looking for the best graduates to join our fellowship programme.

Partners

Want to collaborate with Ishango? Help us train future Data Science Leaders in Africa.

We are looking for the best people and institutions to help create a thriving data science ecosystem.

Host Companies

Want to hire the best? Host a fellow that matches your needs.

Whatever your project we can connect you with data scientists.

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In Partnership With

We are excited to introduce you to our partner AIMS, Africa’s leading post graduate centre for the mathematical sciences supported by partners including Facebook, Google, and the Mastercard Foundation.

It means we have unique access to the absolute best post graduates on the continent with degrees in Mathematics, Machine Learning, and Climate Science. Not only do we have the top talent but they provide us with a hub in downtown Kigali perfect for our fellowship.