Click-on Kaduna Data Science Fellowship Programme 2020

 

 

The Data Science Fellowship Programme is part of the Kaduna State’s Data Revolution Plan aimed at strengthening the coordination in the collection and use of data for evidence based decision making.

The Data Science Fellowship Programme is part of the Kaduna State’s Data Revolution Plan aimed at strengthening the coordination in the collection and use of data for evidence based decision making. The Data Lab Project is jointly implemented by the Kaduna State Government, Bill and Melinda Gates Foundation and Natview Foundation for Technology Innovation. It is a 5-year project aimed at supporting the State in implementing the Data Revolution Plan, with a core objective of developing human capital around data science and the use of data for decision making.

WORTH

Participants of the programme will benefit from the following:

  • A chance to upgrade your skills and develop a career in the most sought after industry in the world.
  • An opportunity to work with a team of public policy experts, Data Analysts to contribute to development planning, public policy, and use of data for evidence based decision making in the Health Sector.
  • 6 months fully paid internship programme with industry leaders and stakeholders within the health sector.
  • Model data using Artificial Intelligence and Machine Learning tools within the Amina J. Mohammed SDGs Data Lab.
  • Build a sustainable network within the Data Science Ecosystem.

ELIGIBILITY

  • Age: 18yrs – 35yrs except for exceptional cases
  • Location: The State of residence must be in Kaduna
  • Academic Qualifications: Graduate of Tertiary Institutions in any of the STEMS courses particularly: Statistics, Mathematics, Computer Science, Engineering, Economics, Physical Sciences, and any other health related discipline. Undergraduates within the STEM fields identified who are doing their 6months to 1 year Internships are also encouraged to apply.
  • Competency Level: We are looking for people with the following skills:
    1. Basic Computer Knowledge
    2. Basic Knowledge around using Data & Understanding of Microsoft Excel
    3. Problem Solving Skills
    4. Communication Skills(Written and Verbal English)
  • Gender: 50% gender balancing and distribution will be considered during selection process.

DEADLINE: August 31st 2020

To apply and for more information visit here

Press ESC to close