Data Scientist – Center of Excellence (CoE), Personal Lines Pricing

About this role

Experience Aviva
Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.


At
Aviva Canada
, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.


The Opportunity
Join a passionate team of data scientists, actuaries, and engineers. Data analysis is essential for decision-making at every level of our organization. The insurance industry is undergoing major changes, and you have the chance to be at the forefront of this data-driven technological revolution.


Aviva is building strong expertise in data science, and our team,
Personal Lines Pricing – Center of Excellence (CoE)
, is at the heart of it. If you are passionate about using data science to tackle tomorrow’s challenges and want to work in a collaborative, forward-thinking environment, this role is for you.


What You’ll Do

• Transform complex datasets into actionable insights and recommendations to support pricing strategies.
• Participate in all phases of the MLOps pricing model lifecycle: data preparation, model development, implementation, and performance monitoring.
• Collaborate with business and engineering partners to enhance pricing solutions based on models and technical platforms.
• Contribute to the development and maintenance of data exploration tools and systems.
• Communicate model results and findings effectively to both technical and non-technical stakeholders.
• Support innovation and continuous improvement in our data science practices.

What You’ll Bring

• University degree in data science, actuarial mathematics, computer science, engineering, mathematics, physics, or a related field (Master’s de...