About this role
Are you passionate about data analytics, machine learning, and transforming data into business insights? An exciting opportunity is available for a Data Scientist in Nairobi on a one-year fixed-term contract.
This role is ideal for professionals looking to apply advanced analytics, artificial intelligence, and machine learning techniques to support data-driven decision-making and business growth.
Job Overview
The Data Scientist will be responsible for converting enterprise data into meaningful insights, developing predictive models, and supporting the implementation of the organization's data strategy and governance framework.
The successful candidate will collaborate with business and technology teams to develop advanced analytical solutions that improve organizational performance.
Job Details
Position: Data Scientist
Job Type: Full Time, Fixed-Term Contract
Contract Duration: One Year
Location: Nairobi, Kenya
Industry: Data Science, ICT, Artificial Intelligence
Experience: 1–2 Years
Qualification: Bachelor's or Master's Degree
Key Responsibilities
Data Analysis and Business Insights
The successful candidate will:
Analyze both structured and unstructured datasets to generate actionable business insights.
Interpret data trends and patterns to support strategic decision-making.
Translate complex analytical findings into clear recommendations for stakeholders.
Machine Learning and Predictive Analytics
Key duties include:
Developing predictive and prescriptive analytical models.
Building, deploying, and maintaining machine learning models.
Designing and managing analytical pipelines to support business operations.
Identifying opportunities to leverage artificial intelligence and machine learning technologies.
Data Management and Governance
The Data Scientist will also:
Support the implementation of enterprise data frameworks.
Promote adherence to data quality and governance standards.
Ensure data management practices align with organizational policies and regulatory requirements.
Data Platforms and Visualization
Responsibilities include:
Working with modern data platforms such as Microsoft Fabric and data lakes.
Processing, analyzing, and managing large datasets.
Developing dashboards, reports, and visualizations for business users.
Presenting analytical findings in a user-friendly format.
Collaboration and Stakeholder Engagement
The role requires close collaboration with internal teams by:
Working with business and technology stakeholders to understand analytical requirements.
Providing technical support and recommendations for data-driven initiatives.
Participating in projects that improve organizational performance through analytics.
Required Qualifications
Applicants should possess:
Educational Requirements
Bachelor's Degree or Master's Degree in Data Science, Statistics, Computer Science, or a related discipline.
Professional Experience
Candidates should have:
Between one and two years of experience in data analytics, business analytics, or data science roles.
Practical experience developing analytical models and supporting business intelligence initiatives.
Technical Skills
The ideal candidate should demonstrate proficiency in:
Programming and Analytics Tools
Python and/or R programming languages.
SQL for data querying and database management.
Power BI or similar business intelligence and visualization tools.
Advanced Analytics Skills
Machine learning techniques and statistical modeling.
Predictive and prescriptive analytics methodologies.
Data visualization and reporting.
Cloud and Data Platforms
Experience with the following technologies will be highly advantageous:
Microsoft Fabric.
Microsoft Azure.
Data lakes and cloud-based analytics platforms.
Additional Skills and Competencies
Successful candidates should possess:
Strong analytical and problem-solving abilities.
Excellent communication and presentation skills.
Ability to explain technical findings to non-technical stakeholders.
Strong collaboration and teamwork skills.
Attention to detail and commitment to data accuracy.
Ability to work independently and manage multiple priorities.
Why Apply for This Role?
This position offers an exciting opportunity to work with cutting-edge technologies in data science, artificial intelligence, and cloud analytics. Professionals joining this role will gain valuable experience while contributing to data-driven innovation and business transformation.
It is an ideal opportunity for early-career data professionals seeking to advance their expertise in analytics and machine learning.
Application Deadline
28 August 2026
