How much does a data scientist earn in Nigeria?

A data scientist in Nigeria utilises statistical analysis, machine learning, and programming skills to extract actionable insights from complex datasets. They collaborate with business teams to solve problems, build predictive models, and drive strategic decisions using data. Data scientists work across sectors such as financial services, fintech, telecommunications, healthcare, and consulting.

The average salary for a data scientist in Nigeria can vary based on the employer, location, and experience. The approximate figures are:

Note: These figures are estimates and can vary. Senior and specialized professionals may earn significantly more.

• Entry-level (0–2 years): 250000 - 450000
• Mid-level (3–5 years): 450000 - 750000
• Senior-level (6+ years): 800000 - 1500000

• Bachelor's Degree (in Computer Science, Statistics, Mathematics or related fields): 250000 - 500000 NGN per month for candidates typically starting their careers.
• Master's Degree (e.g. MSc Data Science, MBA with analytics focus): 500000 - 900000 NGN per month for candidates with relevant postgraduate education and experience.
• PhD or Advanced Research: Upwards of 1000000 NGN per month, especially for roles in academia, research institutes such as NITDA, or top-tier organisations.

Pursuing a career as a data scientist in Nigeria requires a blend of formal education, practical skills, and relevant certifications. Below are the key steps to get started.

1. Obtain a Bachelor’s degree in Statistics, Computer Science, Mathematics, Engineering or a closely related discipline from a recognised Nigerian university such as University of Lagos (UNILAG), Covenant University, or Obafemi Awolowo University (OAU).
2. Develop strong programming skills in Python or R, and acquire proficiency in data manipulation tools like SQL.
3. Build a solid foundation in mathematics, statistics, and machine learning through online courses or postgraduate studies.
4. Gain hands-on experience with data analysis projects, internships, or participation in local data science contests such as Data Science Nigeria (DSN) Bootcamps.
5. Pursue relevant professional certifications from bodies like the Data Science Nigeria Academy (DSN Academy), Microsoft, or IBM.
6. Enhance your portfolio with real-world projects and contribute to open-source data science initiatives within Nigeria.
7. Network with professionals through LinkedIn and local technology communities such as AI Saturday Lagos or Lagos Data Science Meetup.

Most employers in Nigeria require data scientists to hold at least a Bachelor’s degree in a quantitative discipline—such as Computer Science, Statistics, or Mathematics—from accredited Nigerian universities. Postgraduate qualifications, like an MSc in Data Science, Artificial Intelligence, or Big Data Analytics, are increasingly valued, especially for positions in multinational companies and financial institutions.

Nigerian data scientists often pursue local and international certifications to boost their employability. Notable examples include certificates from the Data Science Nigeria Academy (DSN Academy), MCF Africa Data Science Certification, and vendor-specific programmes such as Microsoft Certified: Azure Data Scientist Associate and IBM Data Science Professional Certificate. Membership of the Nigerian Statistical Association (NSA) or Computer Professionals Registration Council of Nigeria (CPN) can also enhance professional credibility.

To present a strong LinkedIn profile as a data scientist in Nigeria, highlight your technical expertise, completed projects, and certifications. Engage with local data science communities, share insights from projects undertaken in Nigeria, and request recommendations from colleagues or clients. Maintain an up-to-date skills section focused on relevant technologies and demonstrate ongoing learning.

See how a data scientist's salary in Nigeria compares to other professions. This can help you understand your earning potential and career options.