Data Scientist
Core
Apply advanced analytics, statistical modelling, and machine learning to finance and actuarial data to build production models and shape decision-making in forecasting, cost analytics, anomaly detection, and automation.
Role type
Senior IC data scientist (finance/actuarial)
Builds
Production ML models, analytical data products, and reporting intelligence
Domain
Financial services and insurance
Deliverable
production ML models
Required skills
Python, R, SQL, scikit-learn, XGBoost, TensorFlow, PyTorch, regression, GLMs, time-series forecasting, hypothesis testing, experimental design, MLOps, Azure ML, Databricks, AWS SageMaker, ETL (Informatica), Power BI, Tableau, Git, Jira
Preferred skills
Data Mesh, MDM, finance data lakes/warehouses, accounting principles, reporting standards, Agile, Waterfall
Responsibilities
Turn business questions into analytical problems, build and productionise models, translate results into insight, perform exploratory analysis, deploy models to production, visualize data and tell stories, manage model risk, ethics, and governance
Seniority
Senior, hands-on IC