Use predictive analytics to solve real business problems and influence better decisions.

Join Guild's Analytics team and work on high-impact projects that help shape business strategy, improve operational performance and drive better customer outcomes. Partnering closely with business leaders, you'll apply predictive analytics, forecasting and data science to solve complex challenges and support smarter decision-making across the organisation.

This is a 12-month fixed-term contract with a view to permanency, subject to business requirements and individual performance, offering the opportunity to build your career within Guild's growing Analytics function.

About Guild Insurance

Guild Insurance is a proudly Australian-owned insurer with over 60 years of experience supporting professionals and businesses across the country. We partner with over 40 industry associations to deliver specialised, industry-informed insurance solutions and are trusted by more than 110,000 customers nationwide.

How We'll Thrive Together

At Guild Insurance, we thrive together by staying connected to work that matters and supporting each other to grow. Our people are purpose-driven, curious and care deeply about the impact they make as we protect those who protect others and support the communities who rely on them.

You'll be part of a team shaped by collaboration, respect and continuous learning, where your contribution is valued, your development is encouraged and your success is celebrated.

About You

This isn't a traditional reporting or dashboard-focused analytics role.

We're looking for someone who combines strong predictive analytics capability with a consulting and business partnering mindset. You'll enjoy working closely with stakeholders, understanding the real business problem, challenging assumptions and using data to influence better decisions.

You'll bring:

• Experience in predictive analytics, data science, forecasting, machine learning or statistical modelling
• Strong Python and SQL capability
• Strong stakeholder engagement, consulting and influencing skills
• The ability to translate complex analytical concepts into clear business recommendations
• Commercial thinking and a practical approach to problem solving
• Experience working with modern analytics and cloud platforms

Databricks experience is highly advantageous. Insurance experience is helpful, but not essential where you bring the required technical capability and consulting mindset.

What You'll Be Doing

This is an opportunity to work on meaningful business problems, partner directly with decision-makers and help shape how predictive analytics is applied across Guild.

You'll:

• Partner with business leaders to solve complex operational and strategic challenges using predictive analytics and data science
• Develop predictive models and forecasting solutions that influence real business decisions
• Support claims forecasting and workforce planning initiatives that directly impact operational performance
• Uncover insights from claims, customer and business data to identify opportunities for improvement
• Present recommendations to stakeholders and senior leaders, helping drive better outcomes across the organisation
• Contribute to Guild's growing investment in analytics, machine learning and AI

This role offers the chance to work on high-impact projects, influence senior stakeholders and play a key role in expanding the use of analytics across the business.

What We Offer

We offer a competitive remuneration package plus a hybrid working arrangement, providing flexibility for staff to balance work and life by operating from both the office and home. Together, these initiatives are designed to promote both professional achievement and personal wellbeing.

Next Steps

If you're looking for an opportunity to apply predictive analytics to meaningful business challenges, influence business decisions and work on projects that deliver real outcomes, we'd love to hear from you.

Confidential enquiries can be addressed to AJ at recruitment@guildgroup.com.au. Please do not apply via email.