Data Scientist
Company | Aviva |
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Location | Toronto, ON, Canada |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Senior |
Requirements
- Undergraduate degree in Data Science, Actuarial Science, Computer Science or Engineering, Math, Statistics, Physics or a related field. A MSc or 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.
- Knowledge and interest in insurance pricing.
- Excellent communication skills and comfort communicating sophisticated ideas appropriately for senior leadership and non-technical audiences.
- Ability to assess and improve the usability and design of a solution.
Responsibilities
- Transformation of sophisticated data sets into meaningful conclusions & recommendations, with a focus on pricing models.
- Participation in all phases of pricing model MLOps process: data mining/processing, modeling, implementation and performance monitoring, etc.
- Development and maintenance of a growing set of data mining tools, frameworks & approaches.
- Communicate practical recommendations based on insights/model results.
- Drive improvements to our processes and best practices and foster a culture of innovation.
Preferred Qualifications
- A MSc or PhD is preferred.