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Uganda Revenue Authority (URA) is a semi-autonomous government agency under the Ministry of Finance, Planning and Economic Development. URA is mandated to assess, collect, and account for government tax and non-tax revenue in a fair, efficient, and transparent manner to support national development.
Full-time
Supervisor Data Science Job at Uganda Revenue Authority (URA)
Uganda Revenue Authority (URA)
Job Description
To lead the implementation of data science projects to leverage data-driven insights, predictive analytics, and machine learning models that align with URA’s IT strategy and business objectives, enabling enhanced decision-making, operational efficiency, and revenue optimization.
Duties, Roles and Responsibilities
- Lead the development and implementation of data science projects
- Collaborate with stakeholders to identify data science opportunities and ensure project alignment with business needs
- Plan and execute data science projects, defining scope, objectives, and deliverables in alignment with URA’s strategic priorities
- Supervise the design, development, and implementation of data science solutions to address operational challenges and improve efficiency.
- Ensure adherence to established methodologies, standards, and project timelines
- Stay updated on emerging data science trends and technologies to inform project strategies and enhance outcomes
- Oversee the development and deployment of data models and algorithms
- Design and develop machine learning models, statistical analyses, and predictive algorithms to address business challenges.
- Oversee the testing and validation of data models to ensure accuracy, reliability, and scalability.
- Facilitate the integration of data models into URA’s IT systems for seamless operational deployment.
- Monitor model performance in production environments and implement updates or retraining as needed.
- Document model development processes, methodologies, and outcomes for knowledge sharing and compliance
- Collaborate with stakeholders to drive adoption data science.
- Conduct workshops and presentations to communicate data science capabilities and potential benefits to stakeholders
- Liaise with IT teams to ensure data availability and infrastructure support for data science initiatives
- Gather and incorporate stakeholder feedback to refine data science solutions and ensure alignment with business goals
- Build relationships with external partners, such as research institutions or technology providers, to enhance data science capabilities
- Ensure data quality and governance in data science initiatives
- Develop and enforce data quality standards for datasets used in data science projects to ensure accuracy and reliability.
- Implement data governance policies to ensure compliance with URA’s data security and privacy regulations.
- Collaborate with data engineering teams to maintain robust data pipelines and optimize data retrieval processes
- Collaborate with data architecture teams to ensure datasets are properly structured and accessible for analysis.
- Review and validate outputs such as reports, dashboards, and visualizations for clarity and impact.
- Plan and manage the performance of the business unit and staff under supervision so as to improve productivity and efficiency.
- Develop and monitor a Business Unit Work plan
- Develop performance agreements with all the staff under supervision.
- Monitor staff performance and provide guidance and periodic feedback for performance improvement.
- Prepare and submit quarterly M&E report
- Develop and update risk register for the business unit
- Document and review the unit business processes
- Respond to audit queries regarding the business unit and update the Audit system
- Collaborate with stakeholders to identify data science opportunities and ensure project alignment with business needs
- Plan and execute data science projects, defining scope, objectives, and deliverables in alignment with URA’s strategic priorities
- Supervise the design, development, and implementation of data science solutions to address operational challenges and improve efficiency.
- Ensure adherence to established methodologies, standards, and project timelines
- Stay updated on emerging data science trends and technologies to inform project strategies and enhance outcomes
- Design and develop machine learning models, statistical analyses, and predictive algorithms to address business challenges.
- Oversee the testing and validation of data models to ensure accuracy, reliability, and scalability.
- Facilitate the integration of data models into URA’s IT systems for seamless operational deployment.
- Monitor model performance in production environments and implement updates or retraining as needed.
- Document model development processes, methodologies, and outcomes for knowledge sharing and compliance
- Conduct workshops and presentations to communicate data science capabilities and potential benefits to stakeholders
- Liaise with IT teams to ensure data availability and infrastructure support for data science initiatives
- Gather and incorporate stakeholder feedback to refine data science solutions and ensure alignment with business goals
- Build relationships with external partners, such as research institutions or technology providers, to enhance data science capabilities
- Develop and enforce data quality standards for datasets used in data science projects to ensure accuracy and reliability.
- Implement data governance policies to ensure compliance with URA’s data security and privacy regulations.
- Collaborate with data engineering teams to maintain robust data pipelines and optimize data retrieval processes
- Collaborate with data architecture teams to ensure datasets are properly structured and accessible for analysis.
- Review and validate outputs such as reports, dashboards, and visualizations for clarity and impact.
- Develop and monitor a Business Unit Work plan
- Develop performance agreements with all the staff under supervision.
- Monitor staff performance and provide guidance and periodic feedback for performance improvement.
- Prepare and submit quarterly M&E report
- Develop and update risk register for the business unit
- Document and review the unit business processes
- Respond to audit queries regarding the business unit and update the Audit system
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
- Visit this URA link, Click Here to view the detailed job description then click Apply Online.
- Upon submission of your application, you will receive an acknowledgement notification via email. Please ensure that your mailbox has adequate space.
- In case you are not able to complete the application process, you will be required to save your work and the information captured will be saved in your login. This will enable you to resume and complete your application at any time/date within the application period.
- Applicants are required to scan and attach copies of all the requisite academic documents such as Degree Transcripts; A’ level, O’ level Certificates, or any other certification attained. Any qualification which is not attached will not be considered.
- Academic documents of the successful candidates will be vetted and background checks conducted. Applicants that do not possess authentic academic documents will not be considered.
- Any applicant with forged academic documents will be charged in the relevant courts of law.
- Candidates who submit falsified information will be automatically disqualified.
- ONLY online applications using the link provided above will be considered.
- Any form of lobbying will lead to automatic disqualification.
- In case of any inquires please send an e-mail to recruitment@ura.go.ug. or call 0323443643.
Deadline: 28th February 2026
NB: URA is an equal opportunity employer and does not charge money for recruitment
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