Officer Data scientist
2025-07-30T00:49:49+00:00
National Bank of Rwanda
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https://www.bnr.rw/
FULL_TIME
Rwanda
Kigali
00000
Rwanda
Finance
Management
2025-07-31T17:00:00+00:00
Rwanda
8
Reporting to Manager,Data Science,the job holder is responsible for applying statistical analysis, machine learning, artificial intelligence and data modeling techniques to extract insights from complex datasets, enabling data-driven decision-making. The job holder is involved in identifying business problems, designing analytical solutions, and implementing predictive models to optimize processes and drive innovation.
Job Responsibilities
- Design, develop, and deploy machine learning models and predictive algorithms plus validate model accuracy and ensure they meet performance requirements.
- Collaborate with stakeholders to define business problems and translate them into data science projects.
- Design solutions tailored to specific organizational needs.
- Collect, clean, and preprocess data for analysis and ensure data quality and integrity throughout the project lifecycle.
- Create dashboards, visualizations, and reports to present findings.
- 6. Conduct ad-hoc analysis, simulations, and predictive modeling to support decision-making.
- Analyze financial sector data to identify risks, trends, and regulatory implications.
- Develop AI-assisted risk assessment frameworks, AI agents, forecasting models, and early warning systems.
- Provide data-driven insights to inform supervisory, risk mitigation, and policy decisions.
- Effectively communicate complex data concepts to non-technical audiences.
- Work with data engineers, analysts, and IT teams to implement data solutions.
- Provide support during the integration of analytics solutions into business processes
Job Requirements
- Bachelor’s degree in AI engineering, data science, computer science or a similar discipline.
- Two (2) years of experience in data science, data governance, AI engineering or data quality assurance.
JOB-68896c2dca3b1
Vacancy title:
Officer Data scientist
[Type: FULL_TIME, Industry: Finance, Category: Management]
Jobs at:
National Bank of Rwanda
Deadline of this Job:
Thursday, July 31 2025
Duty Station:
Rwanda | Kigali | Rwanda
Summary
Date Posted: Wednesday, July 30 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Reporting to Manager,Data Science,the job holder is responsible for applying statistical analysis, machine learning, artificial intelligence and data modeling techniques to extract insights from complex datasets, enabling data-driven decision-making. The job holder is involved in identifying business problems, designing analytical solutions, and implementing predictive models to optimize processes and drive innovation.
Job Responsibilities
- Design, develop, and deploy machine learning models and predictive algorithms plus validate model accuracy and ensure they meet performance requirements.
- Collaborate with stakeholders to define business problems and translate them into data science projects.
- Design solutions tailored to specific organizational needs.
- Collect, clean, and preprocess data for analysis and ensure data quality and integrity throughout the project lifecycle.
- Create dashboards, visualizations, and reports to present findings.
- 6. Conduct ad-hoc analysis, simulations, and predictive modeling to support decision-making.
- Analyze financial sector data to identify risks, trends, and regulatory implications.
- Develop AI-assisted risk assessment frameworks, AI agents, forecasting models, and early warning systems.
- Provide data-driven insights to inform supervisory, risk mitigation, and policy decisions.
- Effectively communicate complex data concepts to non-technical audiences.
- Work with data engineers, analysts, and IT teams to implement data solutions.
- Provide support during the integration of analytics solutions into business processes
Job Requirements
- Bachelor’s degree in AI engineering, data science, computer science or a similar discipline.
- Two (2) years of experience in data science, data governance, AI engineering or data quality assurance.
Work Hours: 8
Experience in Months: 24
Level of Education: bachelor degree
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