Join Suncorp’s AI & Data Science Centre of Excellence, where we harness the power of data to drive real business performance. Our mission is to maximise the value of data through innovative use cases, scalable AI solutions, and strategic support across the Group. We accelerate the value of Suncorp’s data investments by:

• Delivering high-impact use cases through experimentation, prototyping, and production-grade AI and Data Science solutions embedded at scale across the business
• Empowering strategic leaders and the broader data science community with expert guidance, best practices, and governance to ensure the right initiatives are delivered effectively
• Be part of a team that shapes Suncorp’s AI & DS ecosystem - including platforms, tools, and governance frameworks-to enable smarter decisions, faster innovation, and safer outcomes

What you’ll do

• Engage with business units to understand needs, design iterative data science solutions, evaluate data sources, and solve complex problems using advanced techniques
• Deliver data science outputs (models, data, insights) efficiently within an agile framework using both local and offshore resources
• Ensure accuracy and quality of data science components delivered to internal customers
• Provide subject matter expertise in data science/ML and offer guidance to team members and stakeholders
• Work effectively with team members and leaders, offering technical leadership and cross-team collaboration

What you’ll bring

• Strong results in a relevant technical bachelor's degree e.g. statistics, actuarial, engineering, maths (mandatory)
• Postgraduate qualification or honours (Class 1 or 2A) in data science/statistics (desired)
• Understanding of Generative AI, including prompt engineering, RAG, and agents
• Highly valued: Experience deploying GenAI solutions in production
• Minimum 2 years in complex commercial data science or multivariate analysis
• Advanced expertise in one or more data science/analytics areas with proven delivery of complex models
• Proficient in machine learning and multivariate predictive analytics (e.g. GLMs, NLP, GBMs)
• Strong commitment to continuous technical learning and adaptation