Data Scientist
JOB PURPOSE:
The Data Scientist supports SAFIC’s research and innovation agenda by developing analytical models, performing advanced data analyses, and generating insights that inform policy, investment, and agribusiness decision-making. This role contributes to the design and deployment of data-driven solutions that enhance productivity, sustainability, and innovation within Africa’s agri-food systems.
MAIN DUTIES AND RESPONSIBILITIES:
Data Analysis and Modeling
- Develop, validate and implement machine learning and statistical models for structured and unstructured data.
- Analyze large and complex datasets to identify trends, patterns, and predictive insights.
- Refine and optimize models to improve accuracy, reliability, and scalability.
- Apply appropriate methodologies to address sector-specific challenges, particularly in agriculture.
Policy and Strategy Support
- Support data analytics projects that generate evidence for policymaking and business decision-making.
- Interpret analytical results and provide clear, data-driven recommendations.
- Align analytical outputs with the needs of policymakers, researchers, and private sector stakeholders.
Stakeholder Engagement and Coordination
- Collaborate with government agencies, research institutions, and industry partners on data initiatives.
- Support co-creation of analytics solutions that respond to real-world agricultural data challenges.
- Communicate technical concepts effectively to non-technical stakeholders.
Digital Solutions and Analytics Tools
- Contributes to the design and development of interactive dashboards and digital analytics tools.
- Ensure usability, clarity and relevance of data visualizations for diverse audiences.
- Support the deployment and continuous improvement of analytics platforms.
Research Outputs and Dissemination
- Develop clear visualizations and summaries to communicate insights to technical and non-technical audiences.
- Contribute to knowledge products and publications aligned with organizational objectives.
Data Governance, Quality and Ethics
- Adhere to data governance frameworks and best practices in data management.
- Apply ethical AI principles, ensuring transparency, fairness, and accountability in models.
- Maintain data integrity, security and compliance with relevant standards and policies.
Analytics Excellence and Innovation
- Work closely with the Principal Lead Data Scientist to refine analytical methodologies.
- Support performance evaluation and scaling of analytics solutions.
- Contribute to knowledge sharing, documentation, and continuous improvement within the team.
JOB REQUIREMENTS:
The post holder will be required to have and demonstrate evidence of the following qualifications, attributes, and skills:
- Master’s Degree in Data Science, Statistics, Computer Science, AI, Agricultural Informatics, or a related field.
- 3+ years of experience in data science, analytics, or applied research. Experience working
- with agricultural, environmental, economic, or geospatial datasets is an added advantage.
- Strong expertise in machine learning, predictive analytics, and data modelling.
- Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
- Demonstrated ability to analyse large datasets and derive actionable insights.
Key Competencies and Skills:
- Solid technical understanding of data science methodologies and AI/ML techniques.
- Ability to translate analytical outputs into clear, user-friendly insights.
- Strong problem-solving skills and analytical thinking.
- Effective collaboration skills and ability to work with multidisciplinary teams.
- Excellent communication skills for both technical and non-technical audiences.
- Commitment to ethical data use, governance principles, and agricultural transformation.
How to Apply
If you are interested in the position and have the skills we are looking for, we would like to hear from you. Please forward an application letter together with a copy of your updated resume quoting ‘Data Analyst’ to the People and Culture Manager, Strathmore University Business School, on careerssbs@strathmore.edu by end of the day (5.30 pm) Wednesday, 31st December 2025.
Due to the large number of applications we may receive, only the shortlisted applicants will be
contacted. Please be advised that Strathmore University Business School is an equal opportunity employer and does NOT ask for money from applicants under any circumstances during its recruitment process. Interested applicants are encouraged to exercise caution upon receiving any such interview opportunity that requires payment of any money.