Senior Data Scientist
New
C
Coalition, Inc.Insurance, Cybersecurity
Any location, CanadaFull-TimeSenior
Salary123,600 - 187,000 CAD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLData AnalysisMachine LearningMicrosoft Power BITableauLookerR
Requirements
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Actuarial Science
- 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry
- Demonstrated knowledge of underwriting, pricing, reserving, or risk management processes
- Advanced SQL skills for querying complex databases and joining disparate data sources
- Expertise in data manipulation and analysis using Python, R, or similar analytical tools
- Proficiency with data visualization tools such as Tableau, Power BI, or Looker
- Experience creating dashboards for operational metrics tracking
- Strong communication and analytical skills
- Ability to work effectively with remote teams
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 or risk evaluation
- Develop and refine statistical and machine learning models to assess cybersecurity risks for underwriting and pricing
- Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions
- Apply statistical techniques to evaluate and improve cyber risk assessment methodology
- Provide analytical support for underwriting strategies to balance growth with risk management
- Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics
- Collaborate cross-functionally with actuarial, product, and engineering teams to lead data-driven initiatives
- Serve as a technical lead and mentor within the underwriting team
View Full Description & ApplyYou'll be redirected to the employer's site