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Become a Data Science Fellow

Ishango.ai is invested in your success: our Data Science Fellowship includes a generous stipend, give you access to international Data Science projects, gives to access to mentors from global institutions provides you with soft-skills training to take your career to the next level.

 

You will join as a talented technician and leave as an experienced Data Science professional. 

Ishango Data science Fellowship - group

Why Become a Fellow?

Fully funded
& free

Become a Fellow: Master marketing your skills to a global audience at no cost to yourself.

Learn as part of
a team

Become a Fellow: Train, work, and network with your cohort, support and celebrate each other's success

Work with global companies

Become a fellow: Gain experience on projects from top companies from around the world, and seek guidance from experienced mentors

Apply to be a Fellow

Ghana Fellowship

June - July 2022
Apply now for our June – July 2022 Fellowship in Ghana! It is an 8-week residential programme. You will have the opportunity to work with major international companies on real projects that make an impact. Just fill out our application form below.
Apply Now

Rwanda Fellowship

September - November 2022
Apply now for our September – November 2022 Fellowship in Rwanda! It is an 8-week residential programme. You will have the opportunity to work with major international companies on real projects that make an impact. Just fill out our application form below.
Apply Now

Here are two examples of successfully completed Data Science projects done by Ishango Fellows during the Data Science Fellowship programe.

Faith and Cyrille presenting their project on an unsupervised predictor model developed in collaboration with Elder Research

Anisie and Joseph presenting their project on machine learning model to predict mental health illness developed in collaboration with Omniscient Neurotechnology

Meet Our Fellows

Faith Benson

Faith holds a Master's in Mathematical Sciences from University of Cape Town and also a Master's in Machine Learning from AIMS

Jeannine Uwingabire

Jeannine holds a Master's of Science in Mathematical Sciences, specializing in Computer Science from AIMS Rwanda and a Bachelor of Sciences in Mathematics specializing in applied Mathematics

Anisie Uwimana

Anisie holds an African Master's in Machine Intelligence and a Master's in Mathematical Sciences from Rwanda Kigali.

Aurelie Kemme

Aurelie holds a Master's of Science in Industrial Mathematics from AIMS Cameroon.

Cyrille Feudjio

Cyrille holds Master’s Degree in Industrial Mathematics from AIMS Cameroon, an Engineer’s Degree in Industrial Engineering and a Masters in Physics from the University of Dschang.

Mamadou Gueye

Mamadou holds an African Master's in Machine Intelligence from AIMS Rwanda & a Master's in Computer Science, data management &  software engineering, from Gaston Berger University, Senegal.

Nasser Mouliom

Nasser holds a Master's degree of Science in Industrial Mathematics from AIMS Cameroon and Master's in Physics from the University of Beua.

Joseph Domguia

Joseph holds an African Master’s in Machine Intelligence from AIMS Rwanda.

Bright Edem Aboh

Bright holds a Master's in Mathematical Sciences with a minor in Big Data and Financial Mathematics from AIMS Senegal.

Sylvera Massawe

Sylvera holds a Master's in Mathematical Sciences from AIMS Rwanda.

Aimable Manzi

Aimable holds a Master's in Mathematical Sciences with a minor in Climate change and a Master's in machine intelligence from AIMS Rwanda.

Jeanette Nyirahakizimana

Jeanette holds a Master's in Mathematical sciences specializing in Operation Research and an African Master's in Machine Intelligence from AIMS Rwanda.

Engelbert Tchinde

Engelbert holds a Master's in Mathematical Sciences majoring in Big data and computer security from AIMS Senegal. 

Victoire Noyum

Victoire holds a Master’s in Industrial Mathematical (Data Science specialization) and a Master's of Engineering in Automotive Technology, option Mechatronic from AIMS Cameroon.


FAQs

We also welcome applicants from engineering and statistics backgrounds as well as applicants with any degree who can demonstrate at least 2 years of relevant work experience and have successfully completed online courses in data science.

No. Fellows will start working on real projects immediately they join the programme. It is  therefore expected that all Fellows join the course with the fundamentals of programming and having completed courses on data science basics (e.g data camp, dataquest, udemy, coursera etc) to a good level.

Complete and submit the online application form. If selected, you will be invited to complete an online technical assessment. Upon successful completion of the online assessment, you will be invited for a technical interview. If your interview is successful, you will receive a conditional offer pending approval by a host company. Once the host company has reviewed your profile and is happy to have you assigned to their project, you will receive a confirmed offer.

It is not possible to join the programme part-time, remotely or on flexible hours. It is essential that applicants only accept an offer if they are able to commit full-time for the duration of the 2 month programme.

No. Participants will need to fund and make their own travel arrangements to and from the residentials in Accra/Kigali.  However, financial support to cover travel costs may be provided for exceptional candidates from disadvantaged backgrounds.

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