Co-operative Bank of Kenya Data Scientist Jobs
Job Summary
Develop and deploy advanced analytics, machine learning, optimization and artificial intelligence solutions that drive business performance, risk management, operational efficiency and data-driven decision-making across the Bank.
Transform complex datasets into actionable insights while leading the development, validation, deployment and monitoring of predictive and AI-driven models in compliance with governance and responsible AI requirements.
Key Responsibilities
Collaborate with business and product teams to identify strategic business challenges and define analytical approaches that deliver measurable business outcomes.
Analyze complex and large-scale datasets to identify patterns, trends, risks and opportunities.
Translate analytical findings into actionable recommendations and insights for business leaders and stakeholders.
Develop, train, test and validate statistical, machine learning, optimization and generative AI models using robust and reproducible methodologies.
Establish model performance benchmarks, validation standards and monitoring frameworks.
Ensure model fairness, explainability, transparency and compliance with responsible AI and model risk management standards.
Implement appropriate human oversight controls throughout the AI and machine learning lifecycle.
Collaborate with Data Engineers and Application Engineers to deploy machine learning and AI solutions into production environments using approved MLOps and LLMOps practices.
Design and conduct experiments, proof-of-concepts, pilots and post-deployment evaluations to assess business impact.
Monitor model performance and business outcomes, identifying performance degradation, drift and emerging risks.
Recommend model retraining, recalibration, enhancement or retirement when necessary.
Maintain comprehensive model documentation, source code repositories, validation evidence and governance records.
Develop reusable analytical assets, machine learning frameworks and best practices.
Contribute to knowledge sharing initiatives that strengthen data science and AI capabilities across the Bank.
Qualifications
Bachelor’s Degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, Engineering, Operations Research or a related quantitative field.
Relevant Master’s Degree is an added advantage.
Professional certification in Data Science, Machine Learning, Artificial Intelligence, Cloud Computing or Analytics is an added advantage.
Experience
Minimum four (4) years of relevant experience in Data Science, Advanced Analytics, Machine Learning or Applied AI.
Demonstrated experience delivering machine learning
or analytical solutions from problem definition through validation and production deployment.
Experience working with large-scale enterprise datasets and analytics platforms.
Experience in Credit Risk, Fraud Analytics, Collections, Customer Analytics, Banking Operations or related domains is an added advantage.
Proven ability to deliver measurable business value through advanced analytics and AI initiatives.
Technical Skills
Machine Learning and Predictive Analytics.
Statistical Modelling and Data Analysis.
Generative AI and Applied Artificial Intelligence.
Optimization Modelling and Decision Science.
Python and/or R Programming.
SQL and Database Querying.
Feature Engineering and Data Preparation.
Model Validation and Performance Evaluation.
MLOps and LLMOps Practices.
Data Visualization and Storytelling.
Experimental Design and A/B Testing.
Data Mining and Pattern Recognition.
AI Governance and Responsible AI Principles.
Business Intelligence and Analytical Reporting.
Key Competencies
Advanced Analytical Thinking.
Data-Driven Problem Solving.
Machine Learning Solution Development.
Strategic Business Insight Generation.
Research and Innovation.
Critical Thinking and Decision Support.
Stakeholder Engagement and Collaboration.
Communication and Data Storytelling.
Model Governance and Risk Awareness.
Attention to Detail and Quality Assurance.
Continuous Learning and Adaptability.
Results Orientation and Accountability.
Preferred Attributes
Strong understanding of banking analytics, customer behaviour modelling and risk analytics.
Ability to communicate complex analytical concepts to both technical and non-technical stakeholders.
Experience working with AI-enabled decision systems and production analytics environments.
Passion for innovation, experimentation and continuous improvement.
Ability to balance analytical rigor, governance requirements and business impact.
How to apply
For more information and job application details, see; Co-operative Bank of Kenya Data Scientist Jobs
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