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Data Science Nigeria( DSN), registered as Data Scientists Network Foundation is a leading local capacity building non-profit with a vision to raise one million Artificial Intelligence (AI) talents in 10 years by building a world-class AI knowledge, research and innovation ecosystem that delivers high impact research, business use applications, AI-first start-ups, employability and social good use cases. Data Science Nigeria is Africa’s fastest growing Artificial Intelligence learning, solution delivery, research and consulting network, whose sphere of impact has touched hundreds of thousands in four years.

We are scaling up in 2021 and thus seek well motivated and smart professionals who are willing to join our world of impact.
We value excellence, global best practices and sustainable impact.

Check our vacancies below:


The role is an experienced business coordinating engine to drive our operational governance, process, policy compliance and day-to-day business efficiency. You must be a high-energy multitasker who can engage, think ahead, plan, organise, report, communicate and help the firm meet its goals successfully and proactively.
As Operations Lead, you will be planning, implementing and overseeing our company’s daily operations. As this function is crucial to our sustainability, we want someone with a strong sense of ownership, who takes pride in performance KPI, impact delivery and the company’s success.

For a full list of responsibilities, click here


We are looking for a highly motivated, passionate, and committed individual who will lead and manage our communities of practice and learning communities across Nigeria. The talent will also drive commercial sales/go-to-market of our educational products/services.
The individual will build and manage a community of professional practitioners, researchers, students, developers, startups, academic institutions and hubs as an integral part of Data Science Nigeria’s vision to raise 1 million talents. The individual will also lead the go-to-market, channel and partners management to drive the sales of our various educational products and services. The role is an experienced professional with a genuine passion for nation building through inclusive learning.

For a full list of responsibilities, click here


The role is an experienced professional responsible for providing robust actionable answers to questions about complex datasets like geospatial, satellite and mobility data. Some of the responsibilities include:

  • Perform the advanced analysis on anonymised and non-identifiable data from various geospatial and mobility data sources
  • Work with aggregated data from a number of sources to produce compound analyses that can be applied for social good
  • Develop and test new methodologies for processing, analysing and interpreting large datasets

For a full list of responsibilities, click here


The role is an experienced professional responsible for building reliable and scalable data pipelines to make data sets available for analysis.  The ideal candidate is entrepreneurial, motivated to grow, and has a passion for building data pipelines, analysis tools, and visualisations using Python, Postgres, and JavaScript amongst others to enable the analysis of complex datasets (e.g. geospatial data, satellite data, mobile phone call data records).

For a full list of responsibilities, click here


The role is an experienced professional responsible for advanced analytics, statistical analysis and visualization. The role will deploy theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives to make evidence-based decisions at all times. The expert leading this function will use statistical tools to interpret data sets, paying particular attention to trends and patterns, correlations and causalities valuable for diagnostic, predictive and prescriptive analytics efforts.

For a full list of responsibilities, click here


To apply, send CV to with subject as the JOB TITLE of the related position.


Annual Reports:
2020/2021: Annual Report
2019/2020: Annual Report
2018/2019: Annual Report
2017/2018: Annual Report

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