Data Scientist - AI and Analytics

About the role

Co-operative Bank of Kenya is looking for a Data Scientist to join its growing AI and data capabilities. The role applies data science, machine learning and AI to improve customer experience, strengthen risk management, boost operational efficiency and drive sustainable growth. Working in cross-functional teams, the Data Scientist develops, validates and deploys predictive and AI models in areas such as credit, fraud detection, collections, customer engagement and banking operations.

Key responsibilities

• Work with business and product teams to define analytical approaches and measurable outcomes.
• Analyse complex datasets and turn findings into actionable insights for business leaders.
• Develop, train, test and validate statistical, machine learning, generative AI and optimisation models.
• Set up performance benchmarks, validation criteria and monitoring frameworks, including fairness, explainability and human oversight.
• Deploy models with Data Engineers and Application Engineers using approved MLOps/LLMOps practices.
• Run experiments, pilots and post-deployment evaluations, and monitor for data drift.
• Maintain model documentation, code and validation evidence for governance and audit.
• Share reusable analytical assets and knowledge across the Bank.

Required profile

• Bachelor's degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, Engineering, Operations Research or a related quantitative field.
• At least four years of experience in data science, advanced analytics, machine learning or applied AI.
• Demonstrated experience moving solutions from problem definition through validation to production deployment.
• Experience in credit, fraud, collections, customer analytics or banking operations is an added advantage; a master's degree or professional certification is also an added advantage.

Required skills

• Proficiency in Python or R and SQL.
• Strong knowledge of statistical modelling, machine learning, feature engineering and model evaluation.

To apply, send a cover letter and detailed CV by email to the bank's jobs team, citing the job reference number DS/IID/2026, by 9 November 2026.