Join our Pricing & Analytics team to deliver data science solutions that support strategic decision-making across general insurance. You’ll work with large datasets, build scalable tools, and contribute to a high-performing, inclusive team.

What You’ll Do

• Further improve our in-house ML Modelling Engine GUID with R/Rshiny.
• Continue to develop and deploy models and modelling data for model monitoring suites.
• Offer troubleshooting support for the Modelling Engine GUID tool as required and develop comprehensive knowledge of its operation.
• Participate in a project to convert all modelling and pricing codes from SAS to Databricks, while continuously enhancing process efficiency and reducing processing time.
• Develop autonomous data processing and modeling.
• Serve as the primary point of contact and provide guidance to the broader pricing team on utilizing our Modelling Engine GUID.
• Collaborate with cross-functional teams to deliver analytics solutions aligned with business goals.
• Use statistical, actuarial modelling, and machine learning methods to address business problems.
• Provide guidance to team members regarding coding standards, DevOps procedures, and data governance practices.

What You’ll Bring

• Proficiency in R (especially RShiny) with experience in Python, SQL, and Spark highly regarded
• Experience with Databricks, cloud platforms, and version control tools like Git/Bitbucket.
• Understanding of statistical/actuarial modelling, machine learning, and data engineering principles.
• Demonstrate experience in DataBricks with application for DevOps, Data Engineering, MLflow, MLE, MLOps and coding.

If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact liam.saif@suncorp.com.au for a confidential conversation.