Officer Data scientist
BNR-National Bank of Rwanda
At a glance
Officer Data scientist is a on-site engineering opening at BNR-National Bank of Rwanda. The posting places it in Kigali, Rwanda. The post date on the listing is 11 Nov 2026. The deadline written on the listing is 19 Nov 2026. The notes below are written by Akazi. The advertisement under them is the employer's own text.
- Company
- BNR-National Bank of Rwanda
- Job type
- Engineering · On-site
- Location
- Kigali, Rwanda
- Deadline
- Deadline 19 Nov 2026
- Date posted
- 11 Nov 2026
How to apply
- Officer Data scientist is listed here so you can find it. BNR-National Bank of Rwanda takes the application. Akazi does not.
- Use Apply. It opens the employer's own site. Finish every step there, including an account if they ask for one.
- Deadline 19 Nov 2026. Many employers in Rwanda close a role on that day, so do not leave it to the last hour.
- This is on-site work in Kigali, Rwanda. Be clear that you can be there on the days they expect.
- Shape your CV around this engineering role and put the experience they ask for near the top. Name Kinyarwanda, English, or French only at the level you can actually work in.
- Do not pay a fee, buy a starter kit, or share a mobile-money PIN. A real application to BNR-National Bank of Rwanda will not ask you to pay in order to be hired.
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Apply(opens in a new tab)Employer advertisement
The text below is the public posting from BNR-National Bank of Rwanda. Akazi did not write it.
Job Description
Reporting to Manager,Data Science,the role holders will build and maintain reliable data infrastructure and pipelines; ensure that the Bank’s data is accurate, complete, consistent and well documented; implement data governance policies, standards and stewardship arrangements; and lead the Bank’s adoption of artificial intelligence by designing, building and deploying AI solutions, including large language model (LLM), generative AI and agentic AI applications, that automate processes, enhance analysis and support policy and research.
Job Responsibilities
Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning techniques to deliver accurate, context-aware responses grounded in institutional data. Assess and continuously improve AI solutions in terms of accuracy, reliability, performance, scalability, and cost-effectiveness, while minimizing hallucinations and unintended outcomes. Collaborate closely with data scientists, AI engineers, data quality analysts, and other stakeholders to translate business requirements into effective data systems. Design, develop, and maintain robust, scalable ETL/ELT pipelines for integrating and transforming data from multiple sources, and develop secure APIs to serve governed, analytics-ready datasets to downstream analytical platforms, business intelligence solutions, and AI/ML applications. Build, manage, and optimize transactional (OLTP) and analytical (OLAP) databases, preferably PostgreSQL and ClickHouse, ensuring performance, security, scalability, and reliability. Document data engineering processes, pipelines, and solutions to ensure that all workflows are understood, reproducible, and maintainable. Perform data cleaning, validation, and profiling to enforce business rules and ensure data accuracy, consistency, completeness, and integrity.
Gather, and document business requirements from technical and non-technical stakeholders, translating them into well defined data quality rules and validation checks. Develop, implement, and monitor data pipelines that integrate data quality checks, following data engineering best practices to ensure reliable data quality. Apply data governance principles, policies, standards, and procedures in implementing the data quality program. Assist in developing and documenting data governance policies, standards, and procedures in line with recognized frameworks such as DAMA-DMBOK. Implement data catalogue, business glossary, and data lineage mapping for the Bank's Data Warehouse (EDWH). Collaborate with stakeholders across the Bank to ensure adherence to data governance practices. Support the Bank’s data governance culture by contributing to existing knowledge-sharing and awareness initiatives and helping develop new ones
Job Requirements
Master’s degree in computer science, data science, software development, information Technology, or a related field.
35years
Female candidates are encouraged to apply
View the original posting(opens in a new tab)
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