ICT Data Scientist AI Developer

Job Purpose:

• Lead execution of data engineering and AI initiatives across the organization; Responsible for delivery quality, technical guidance, and ensuring data solutions support business performance, automation, and analytics objectives.

Key Responsibilities:

• Design and maintain scalable data pipelines (Python, SQL, Spark, Microsoft Fabric).
• Oversee ingestion, transformation, and data quality processes.
• Ensure reliability and performance of reporting datasets and ML-ready data.
• Support optimization and value extraction from Britam’s MDM platform.
• Review and approve junior team code and pipeline configurations.
• Lead development and deployment of ML use cases (e.g., claims risk, lapse prediction, fraud detection).
• Guide the data stewards in data preparation and experimentation.
• Convert ML models into APIs and support integration into business systems.
• Monitor model performance and recommend recalibration when needed.
• Oversee dashboard development (Power BI or similar) and ensure business alignment.
• Support Finance, Actuarial, Risk, and Product teams with predictive analysis.
• Validate insights before release to business stakeholders.
• Drive automation of recurring reporting and manual workflows.
• Ensure compliance with data security, privacy, and ethical AI standards.
• Partner with Risk & Compliance on data protection implementation.
• Maintain documentation for audit and regulatory purposes.

Knowledge, Experience and Qualifications required and Essential Competencies - External

• University Degree in actuarial science, statistics, engineering, mathematics, physics, economics or related field with strong emphasis on mathematical proficiency
• 2-4 years’ experience in a similar position
• Experience in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Demonstrated expertise machine learning algorithms and Microsoft fabric

Technical/ Functional competencies

• Statistical techniques
• Proficient knowledge on the insurance industry in Kenya
• Knowledge of reinsurance arrangements and structures
• Knowledge of statistical packages or programming (e.g. SAS, Visual Basic)
• Database management systems