Data Scientist, Commercial Price Modelling

Experience Aviva  Experience Aviva  Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are.
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  As a Data Scientist on our Commercial P&C Price Modelling & Sophistication team, you’ll build models and data-driven solutions that improve customer experience, support business decisions, and drive innovation across the organization.
In this role, you’ll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You’ll work on high-impact initiatives such as claims prediction, customer journey optimization, pricing insights, and automation, partnering closely with business and technology teams.
Supported by experienced colleagues and mentorship, you’ll have opportunities to grow your technical expertise while applying cutting-edge tools and techniques to projects that impact millions of customers. As the insurance industry continues to evolve, you’ll help shape the future of data science and innovation t You’ll Do   Transform sophisticated datasets into meaningful conclusions & recommendations.
Develop innovative solutions for pattern recognition using machine learning and statistical approaches.
Partner closely with Pricing and work on the data science projects end-to-end for Commercial P&C Pricing, from project planning through data processing, model training, model acceptance, and post implementation monitoring.
Contribute to modelling best practices and improve the quality and reproducibility of the team’s work.
Maintenance of a growing set of data mining tools, frameworks & approaches
Communicate practical recommendations based on insights/model results.
Support model monitoring and validation, including identifying performance deterioration, portfolio shifts, and emerging segment behavior.

What You’ll Bring   An educational background in computer science or engineering, math, statistics, physics or a related field. A minimum of an MSc is required, and PhD is preferred.
3+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience).
3+ programming experience in Python with a good grasp of software engineering standard methodologies such as code-reusability, modularity, use of reports, etc.
What Makes You Stand Out   A growth mindset with versatile skills and ability to work through problems from first principles.
A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community, including Kaggle competitions or any personal projects with open data.
A can‑do teammate willing to roll up their sleeves and do whatever is needed to move projects forward. That means, at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions.
Outstanding communication skills and ability to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough just to have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners.
The best problems in the industry are yet to be articulated. We need someone who is creative, self‑motivated and can lead…