Senior Data Scientist
New
CanadaFull-TimeSenior
Salary123,600 - 187,000 CAD per year
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- PythonSQLMachine LearningMicrosoft Power BITableauRisk ManagementLookerR
Requirements
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science).
- 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry.
- Knowledge of underwriting, pricing, reserving, or risk management processes in insurance.
- Advanced SQL skills for querying complex databases.
- Expertise in data manipulation and analysis using Python, R, or similar analytical tools.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Experience with dashboard creation for operational metrics tracking.
- Strong communication and analytical skills.
- Capable of working with remote teams.
- Actuarial qualification preferred.
- Experience in cyber insurance or cyber security preferred.
Responsibilities
- Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights.
- Perform large scale data analysis to produce valuable risk signals for underwriting and risk evaluation.
- Develop and refine statistical and machine learning models to assess cybersecurity risks.
- Create comprehensive reports on underwriting efficiency metrics and risk selection quality.
- Provide analytical support for underwriting strategies to balance growth with risk management.
- Implement opportunities to automate underwriting workflows using advanced analytics.
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements.
- Serve as a technical lead and mentor within the underwriting team.
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