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About the Role
Join a team of data scientists and engineers using advanced analytics and machine learning to solve real business challenges. As part of the Commercial Auto Data Science team, you'll build models and data-driven solutions that improve customer experiences, support business decisions, and drive innovation across the organization. You'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement, working 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.
Responsibilities
- Transformation of 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 Auto 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.
Requirements
- An educational background in computer science or engineering, math, statistics, physics or a related field.
- 3+ years of experience with model development and working with large datasets.
- 3+ programming experience in Python with a good grasp of software engineering standard methodologies such as code-reusability, modularity, use of reports, etc.
Skills
- Python
- Snowflake
- Machine learning
- Statistical approaches
- Data mining
- Communication
Location
- Hybrid
Work Type
- Hybrid flexible work model
Experience Level
- 3+ years of experience
Education Level
- MSc minimum
- PhD preferred
Salary/Compensations
- $100,000 to $120,000
Benefits
- Eligibility for annual bonus
- Retirement savings
- Share plan
- Health benefits
- Personal wellness
- Volunteer opportunities
- Outstanding career development opportunities
- Professional development education support
- Competitive vacation package with the option to purchase 5 extra days off per year
- Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion
- Corporate wellness programs
- Employee discount on home and auto insurance
About the Company
- Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers.
- 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.
Equal Opportunity
- Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.