Data Scientist — Insurance Analytics & Predictive ML

Allstate; Ballarat; Hybrid; AUD 81,000 - 131,000; Full time

Benefits offered by this job

Flexible Work Arrangements

Employee discounts

Wellness allowance

Tuition Reimbursement

Personal days

Retirement savings with employer match

Job summary

Allstate Canada Group is seeking a data scientist to own end-to-end predictive modeling across insurance, pricing, and customer value initiatives. You will blend quantitative insights with business expertise to deliver actionable solutions that move the needle for the company.

You’ll collaborate with data scientists and leaders to translate complex problems into scalable analytics, deploying models in production and communicating insights to stakeholders.

Qualifications

• Experience in machine learning and analytics with hands-on algorithm implementation.
• Experience in professional services or similar environments with data-driven solutions.
• Advanced programming skills in Python and SQL with ML libraries.

Responsibilities

• Lead end-to-end development, deployment, and monitoring of predictive models (LTV, pricing, retention).
• Translate business problems into scalable analytical solutions with cross-functional partners.
• Develop, validate, and maintain advanced ML and statistical models with strong performance.
• Deploy models using Azure ML, Microsoft Fabric, and MLOps for reliability and governance.
• Communicate findings to technical and non-technical audiences to drive decisions.
• Provide thought leadership on customer value, risk, profitability and growth through analytics.

Skills

Python & SQL

Machine learning

Analytics

Stakeholder communication

Model development

Tools

Azure Machine Learning

Microsoft Fabric

Job description

Allstate Canada Group is seeking a data scientist to own end-to-end predictive modeling across insurance, pricing, and customer value initiatives. You will blend quantitative insights with business expertise to deliver actionable solutions that move the needle for the company.

You’ll collaborate with data scientists and leaders to translate complex problems into scalable analytics, deploying models in production and communicating insights to stakeholders.