6months onsite Finance Data Scientist
Core
Apply advanced analytics, statistical modelling, and machine learning to finance and actuarial data to unlock business value, turning business questions into analytical problems and productionising models for forecasting, cost analytics, and anomaly detection.
Role type
Senior Finance Data Scientist (Actuarial)
Builds
Production ML models, reusable feature sets, and analytical data products for the Group Finance & Actuarial function
Domain
Financial Services / Insurance
Deliverable
production ML models
Required skills
Python, R, SQL, Machine Learning (scikit-learn, XGBoost, TensorFlow, PyTorch), Statistics (regression, GLMs, time-series), MLOps, Data Engineering/ETL, Data Visualization (Power BI, Tableau)
Preferred skills
IFRS 17, reserving, pricing, capital modelling, actuarial business capabilities, South African financial regulations (POPIA), mentoring
Technologies
Azure ML, Databricks, AWS SageMaker, Informatica, Git, Jira
Responsibilities
Engage stakeholders to frame business challenges as analytical problems; Design, build, validate, and tune statistical and ML models; Productionise models via MLOps pipelines; Source, profile, cleanse, and transform finance/actuarial data; Build dashboards and visualisations for actionable insights; Document models for audit and regulatory review
Seniority
Senior, hands-on IC