onsite
Pricing Data Scientist - QBE
Data Scientist
Data Scientist focused on SME commercial insurance pricing and underwriting, leveraging Python, machine learning, and statistical modeling to build predictive models and optimize portfolio performance.
About the role
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.
Skills
pythonmachine learningsqldata analysis