Statistical Analyst
Aviva•Toronto, ON
•CA$65,000 - CA$95,000•Hybrid
About The Position
Join an exciting team of data scientists, actuaries, and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is transforming, and you get to be in the driver's seat of this data-driven technology revolution. Aviva is building a distinctive capability in Data Science, and our Personal Line Price Modelling – Center of Excellence (CoE) team is at the heart of this transformation. If you're passionate about applying data science to real-world challenges and want to work in a collaborative, forward-thinking environment, this role is for you.
Requirements
- Undergraduate degree in Data Science, Actuarial Science, Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
- 1+ years of experience in model development and working with large datasets, in industry or academia.
- Proficiency in Python and familiarity with software engineering best practices (e.g., modularity, code reuse, documentation).
- Strong analytical and problem-solving skills with a keen interest in insurance pricing.
- Excellent communication skills and the ability to explain complex concepts to diverse audiences.
- A collaborative mindset and eagerness to learn and grow within a high-performing team.
Nice To Haves
- A Master’s degree is an asset.
Responsibilities
- Transform complex data sets into actionable insights and recommendations to support pricing strategies.
- Participate in all phases of the pricing model MLOps lifecycle: data preparation, model development, implementation, and performance monitoring.
- Collaborate with business and engineering partners to enhance our model-based pricing solutions and technical platforms.
- Contribute to the development and maintenance of data mining tools and frameworks.
- Communicate findings and model results effectively to both technical and non-technical stakeholders.
- Support innovation and continuous improvement across our data science practices.
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
- Corporate wellness programs to support our employees’ physical and mental health
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
