Pricing Data Scientist - QBE

Key Responsibilities

• Develop and deploy machine learning models to predict pricing, risk, and loss for SME commercial insurance products.
• Collaborate with underwriting and actuarial teams to translate business requirements into data‑driven solutions.
• Perform advanced statistical analysis and feature engineering on large insurance datasets.
• Design and maintain scalable data pipelines using SQL and Python.
• Evaluate model performance, conduct bias audits, and iterate for continuous improvement.
• Communicate insights and model outcomes to stakeholders through clear visualizations and reports.

Requirements

• Strong programming skills in Python and experience with libraries such as pandas, scikit‑learn, and XGBoost.
• Proven track record in statistical modeling, predictive analytics, and machine learning in an insurance or financial context.
• Proficiency in SQL and data manipulation across relational databases.
• Excellent problem‑solving skills and ability to translate complex data into actionable business insights.
• Effective communication skills and experience presenting findings to non‑technical audiences.