Nafasi ya kazi :- Data Scientist at CRDB Bank September 2026

Principle Responsibilities

• Design, develop, and implement predictive, prescriptive, and optimization models for priority banking use cases such as fraud detection, credit risk assessment, collections, customer analytics, and operational efficiency.
• Translate business problems into data science use cases, define success criteria with stakeholders, and ensure proposed solutions align with approved business objectives and governance requirements.
• Perform data exploration, feature engineering, model training, testing, and performance evaluation using sound statistical and machine learning techniques.
• Prepare complete model documentation, including business rationale, methodology, assumptions, data sources, feature definitions, limitations, performance metrics, and implementation considerations, to support review, approval, audit, and regulatory scrutiny.
• Ensure models are developed and maintained in line with the Bank’s AI governance framework, model risk management standards, data governance requirements, responsible AI principles, and applicable regulatory obligations.
• Support model validation and approval processes by providing transparent documentation, reproducible development artefacts, evidence of testing, and clear explanations of model logic, outputs, and limitations.
• Assess and mitigate risks relating to model bias, unfair outcomes, data quality, privacy, explainability, robustness, and misuse, and escalate material issues through the appropriate governance channels.
• Collaborate with Data Engineering, MLOps, IT, Risk, Compliance, Information Security, Internal Audit, and business teams to ensure controlled deployment, integration, monitoring, and change management for analytical solutions.
• Monitor models and analytical solutions in production for performance, stability, drift, fairness, and operational effectiveness, and recommend recalibration, retraining, rollback, or retirement where required.
• Maintain version control, traceability, and audit trails for datasets, code, experiments, model versions, approvals, and production changes in accordance with internal standards.
• Apply appropriate controls for data confidentiality, customer privacy, access management, and secure handling of sensitive information throughout the model lifecycle.
• Contribute to model inventories, periodic reviews, performance reporting, and governance forums by providing timely updates on model status, issues, risks, and remediation actions.
• Support experimentation with advanced techniques such as time-series forecasting, natural language processing, and deep learning where justified by business need, data readiness, and governance approval.
• Promote a culture of responsible, ethical, and evidence-based use of AI and analytics across the organisation, including knowledge sharing and adherence to approved standards and practices.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Minimum of 3 years experience in machine learning, statistical modeling, or data analysis.
• Professional certifications in Azure AI, Data Science, MLOps, and Responsible AI are mandatory.
• Master’s degree in Data Science, Artificial Intelligence (AI), Machine Learning, Statistics, Business Analytics, or an MBA with a specialization in Analytics will be an added advantage.

• Demonstrated experience in machine learning, data engineering, AI governance, and business value realization.
• Proficiency in Python, SQL, and machine learning frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong understanding of statistics, probability, and data science principles.
• Experience with data visualization tools such as Tableau, Power BI, Matplotlib, and Seaborn to communicate insights effectively.
• Familiarity with cloud-based machine learning solutions on AWS, Azure, or GCP.

Only Shortlisted Candidates will be Contacted.
Deadline
2026-10-05
Employment Terms
PERMANENT

How to Apply:
Job type Full-time Job, To submit your application, please follow the link provided below.
CLICK HERE TO APPLY