Data Analyst | Actuarial & Predictive Models, AI & AnalyticsData Analyst | Actuarial & Predictive Models, AI & Analytics

Job Responsibilities:

Lead applied modelling on insurance and health datasets, including survival analysis, financial mathematics, and AI-driven predictive analytics. Build and document analyses in Python and R that turn complex statistical results into actionable insight. Supervise data-intensive research projects, mentor junior analysts, and teach actuarial and statistical methods. Author and co-author peer-reviewed... more...

Job Responsibilities:

Deliver statistical analysis, predictive modelling, and monitoring and evaluation analytics to international development and public health clients on a fully remote basis. Build DHIS2 monitoring frameworks and custom data collection tools, analyse multi-site datasets in R, Stata, and SPSS, and translate findings into clear recommendations for decision-makers. Improved data accuracy by approximatel... more...

Job Responsibilities:

Led collection, analysis, and reporting of programme indicators feeding the county planning and reporting cycle. Designed and reviewed monitoring and evaluation protocols and data quality standards. Trained and supervised data collection teams across multiple sub-counties. Prepared programme data for quality audits, safeguarding accuracy and timeliness, and presented findings to senior leadership.

Job Responsibilities:

Applied actuarial and statistical methods to risk assessment, pricing, and policy structuring. Analysed claims data and loss ratios to inform underwriting decisions and portfolio review. Supported new product development and liaised with brokers and intermediaries.

Job Responsibilities:

Performed statistical analysis of research datasets and produced analytical reports for senior researchers. Supported deployment of new data analysis tools and improved data collection methodology.