Require a Senior Data Scientist in Nairobi, Kenya

• Perform exploratory data analysis to answer business questions, identify trends, and surface issues that need attention.
  
• Develop, validate, deploy, and maintain statistical, machine learning, and AI models across customer analytics, segmentation, retention, forecasting, risk, fraud, and optimisation use cases.
  
• Translate business and customer needs into analytical problems and data science solutions.
  
• Perform data exploration, feature engineering, model selection, validation, and performance monitoring.
  
• Build and maintain machine learning pipelines, and deploy solutions into business processes, products, and digital channels.
  
• Own end to end reporting work, from gathering requirements with business teams through to building dashboards, reports, and visualisations that support business decisions.
  
• Work with data engineering colleagues on data quality, pipeline structure, and warehouse design where it affects analytical or model work.
  
• Monitor model performance, data quality, and drift, and keep solutions documented, explainable, and aligned with governance requirements.
  
• Communicate findings and recommendations to technical and non-technical stakeholders.
  

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline from a recognised institution.
  
• Minimum of five (5) years of experience in Data Analytics, Business Intelligence, or Data Science.
  
• Comfortable working across the analytics stack, from data analysis and BI reporting to model building.
  
• Strong proficiency in R and/or Python, advanced SQL, and applied statistics, including inference, hypothesis testing, regression, and experimental design.
  
• Strong understanding of machine learning techniques and algorithms, including model selection, validation, and optimisation.
  
• Experience working with relational databases, data warehouses, and large datasets, including both structured and unstructured data.
  
• Experience building dashboards and reports using tools such as Power BI, Tableau, or equivalent.
  
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an added advantage.
  
• Strong analytical, problem solving, communication, and stakeholder management skills.