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Become a Data Science Fellow​

Ishango is invested in your success. Our Data Science Fellowship includes a generous stipend, gives you access to international data science projects and mentors from global institutions as well as providing 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. 

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

October - November 2022
Apply now for our October – November 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

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

Stephen Adjignon

Stephen has a High National Diploma in Production Engineering from Ho Technical University. 
 

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.

Winifred Harriet Asante

Winifred has a Master's Degree in Mathematical Sciences from AIMs 
Ghana. 

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.

Samuel Gyimah

Samuel has a Bachelor of Science in Mechanical Engineering from the University of Energy and Natural Resources, Ghana. 

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.

Opanin Agyei Adu

Opanin has a Master's of Philosophy in applied mathematics from Kwame Nkrumah University of Science and a Bachelor of Science in Statistics.

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

A recent graduate with a degree in Mathematics, Computer Science, Engineering, Physics and Statistics. Applicants with any degree who can demonstrate at least 2 years of relevant work experience and have successfully completed online courses in data science can join. If you don’t have any technical background or training in data science, sadly, you can not take part in the fellowship.
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.
We look for people that have data science and problem-solving skills, a good level of coding, work well as part of a team, and have good time management and planning skills.
The fellowship is fully funded and free for selected participants. In addition, you will receive a stipend to cover your accommodation, meals, local transport and living costs for the duration of the fellowship.
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 to being available full-time for the 8 weeks of programme. You will be required to work in person from the Ishango workspace for the duration of the fellowship.
Participants will need to fund and make their own travel arrangements to and from the residency in Accra/Kigali.  However, financial support may be provided for exceptional candidates from disadvantaged backgrounds.
Typically your day will start by arriving at the Ishango workspace at the specified start time ( usually 8 am) followed by a morning stand-up meeting to plan the day. You will then spend the day working on your assigned project including having a meeting with your host company (when scheduled). Lunch is then provided after which you will attend an expert session (scheduled weekly). Lastly, you will have an end-of-day reflection meeting at 5 pm. After work fellows are free and sometimes we plan some activities for you to take part in.
The fellowship is an opportunity for you to demonstrate your skills and impress your host company. If a host company is happy with your performance they may offer you a contract to continue working with them. We will also provide you with further support and exposure to help you with your job search.
Projects will be all data-based. Each host company proposes a project and you will have to find a solution for it in your team of two. The projects vary considerably depending on the host company, however they all require strong data engineering and data science skills. Tools and skills often required are: machine learning; NLP; working with DBs; Python; VS Code Studio; git.
 
All kinds of companies from all over the world. Most of them are data science-guided, and others are just companies which have proposed data projects with which they need help.
 

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