Data Scientist, Commercial Price Modelling

About the role

Aviva Canada is looking for a Data Scientist to join its Commercial P&C Price Modelling and Sophistication team. You will build models and data-driven solutions that improve customer experience and support business decisions, contributing to the full model lifecycle from ideation and development through deployment, monitoring and continuous improvement. The role works on claims prediction, customer journey optimization, pricing insights and automation, partnering with business and technology teams.

Key responsibilities

• Turn sophisticated datasets into meaningful conclusions and recommendations.
• Develop pattern-recognition solutions using machine learning and statistical approaches.
• Work end-to-end with Pricing on Commercial P&C pricing projects, from planning and data processing through model training, acceptance and post-implementation monitoring.
• Contribute to modelling best practices and improve the quality and reproducibility of the team's work.
• Maintain a growing set of data mining tools, frameworks and approaches.
• Communicate practical recommendations based on model results.
• Support model monitoring and validation, including performance deterioration, portfolio shifts and emerging segment behaviour.

Required profile

• Degree in computer science, engineering, math, statistics, physics or a related field; MSc required, PhD preferred.
• 3+ years of experience developing models and working with large datasets, in industry or academia (including post-doc).
• Portfolio of projects showing inference from data, such as Kaggle competitions or personal projects with open data.
• Ability to act as project manager, developer, modeler and communicator, and to explain complex algorithms to non-technical people.

Required skills

• 3+ years of Python programming with software engineering standards such as code reusability and modularity.
• Machine learning and statistical modelling.

What we offer

• Salary band of $100,000 to $120,000, with an annual bonus, retirement savings, share plan, health benefits and wellness programs.
• Hybrid flexible work model.
• Career development and professional education support.
• Vacation package with the option to buy 5 extra days off per year.
• Employee discount on home and auto insurance (where applicable).