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Full-time
Data Scientist Job at MTN Uganda
MTN Uganda
Job Description
To develop and maintain reusable insights and data analytics solutions that can serve the business needs of the organization.
To deliver key data science and advanced analytics solutions to serve the entire company and contribute to the improvement of data platform developments and efficiency overall within Business Intelligence division
To facilitate getting data from a variety of different sources in the right formats, maintaining data quality standards, and assuring that downstream users can get that data quickly
Duties, Roles and Responsibilities
- Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
- Create a “Model Factory” for Data Science Models and Algorithms to ensure governance.
- Building automated data pipelines and advanced analytics solutions based on multiple data sources
- Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company
- Prepare long-term evolution plans for in-house data science and analytics projects development
- Innovate and advance on existing data infrastructure as business use cases continue to emerge
- Design and implementation of modern Data APIs for internal and external data access
- Development of Advanced analytics and Machine Learning models
- Building Credit Scoring models for Micro-lending internally and third-party consumption
- Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
All candidates who wish to join MTN Uganda in this capacity should apply online at the link below.
Deadline: 21st March 2026
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