Data Scientist

About the role

In this role, you will be at the heart of analysing and steering the Credit and Surety portfolio, leveraging advanced internal and external data to drive both risk and profitability outcomes. You will work at the intersection of data science, actuarial thinking, and business strategy — collaborating with underwriting, finance, operations, claims, risk management, and actuarial teams across Swiss Re.

What you'll do

• Translate business needs into solutions by working closely with stakeholders to understand problem statements and business context
• Build and deploy analytics solutions for the Credit and Surety line of business, contributing to portfolio steering and monitoring in alignment with strategic objectives
• Drive data-driven transformation by collaborating with cross-functional teams to develop innovative solutions that enhance risk management and underwriting efficiency
• Design and maintain large-scale data pipelines using PySpark and Python, ensuring robust, optimised, and scalable data transformation processes
• Develop interactive dashboards and visualisations that deliver strategic insights to business stakeholders, enabling informed decision-making

What you need

• 5–9 yrs of experience
• Python
• SQL
• Spark
• Statistics
• Portfolio management
• Data visualisation
• B.Tech or B.E.

Good to have

• ETL
• Underwriting
• Actuarial