Data Scientist - AI and Analytics

About the role

Co-operative Bank is looking for a Data Scientist to join its growing AI and data capabilities in Nairobi. The role applies data science, machine learning and AI to improve customer experience, strengthen risk management, boost operational efficiency and drive sustainable growth. You will work in cross-functional teams on 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 performance benchmarks, validation criteria and monitoring frameworks, including fairness, explainability and responsible AI compliance.
• 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, and share reusable analytical assets.

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 DS/IID/2026, by 9 November 2026.