Turn large datasets into pricing insights as a Commercial P&C; Data Scientist at Aviva Canada, using Python, machine learning, and statistical modelling. The position follows a hybrid versatile work model.
This Data Scientist role supports Aviva’s Commercial P&C; Price Modelling & Sophistication team. You will develop data-driven solutions across claims prediction, customer journey optimization, pricing insights, and automation. You will also communicate practical recommendations and work closely with business and technology partners.
Key Responsibilities
Partner with Pricing on Commercial P&C; data science projects
Plan, process, train, accept, and monitor models
Communicate practical recommendations from insights and model results
Maintain data mining tools, frameworks,
and approaches
Identify performance deterioration and emerging segment behavior
Requirements
Minimum MSc in a relevant quantitative or technical discipline
Three-plus years of model development and large-dataset experience
Three-plus years of Python programming experience
Software engineering knowledge covering code reusability and modularity
Portfolio demonstrating inferences drawn from data
Bring Python programming, quantitative modelling, and communication skills to customer-focused insurance solutions at Aviva Canada.