Data Scientist

About the role

Co-operative Bank is hiring a Data Scientist for a full-time, on-site position in Nairobi. The role covers analysing complex datasets, building predictive models, spotting business trends and producing insights that support decision-making and improve banking services. The employer is listed as Co-operative Bank, advertised by Corporate Staffing Services.

Key responsibilities

• Work with business and product teams to define priority challenges, analytical approaches and measurable outcomes.
• Analyse complex datasets to find trends and patterns, turning findings into actionable recommendations for business leaders.
• Develop, train, test and validate statistical, machine learning, generative AI and optimisation models using robust, reproducible methods.
• Set up model benchmarks, validation criteria and monitoring, ensuring fairness, explainability, human oversight and compliance with the Bank's responsible AI and model risk requirements.
• Deploy models and AI solutions in production with Data Engineers and Application Engineers using approved MLOps/LLMOps practices.
• Run experiments, pilots and post-deployment evaluations, and monitor for performance deterioration or data drift, recommending recalibration, retraining or retirement.
• 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.
• Experience moving solutions from problem definition through validation to production deployment.
• An added advantage: experience in credit, fraud, collections, customer analytics or banking operations, and a master's degree or professional certification in data science, machine learning, cloud computing or AI.

Required skills

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

The position is full time and on site in Nairobi; salary is not stated. Applications are made through the recruiter's online application form.