Senior Insurance Data Scientist
New York, United States
USD 113K-175K (estimate) Senior-level Full Time
Tasks
- Analyze pricing conversion retention and risk segmentation
- Apply machine learning for predictive accuracy
- Collaborate with actuarial product engineering and business stakeholders
- Communicate technical concepts to non-technical audiences
- Conduct exploratory data analysis
- Develop GLM pricing models
- Drive pricing model builds to completion
- Mentor junior team members
- Own projects end to end
- Perform root cause analysis on data issues
- Present modeling results and recommendations to leadership
- Provide subject matter expertise in insurance pricing
- Refine and maintain pricing regression approaches
Perks/Benefits
- Career development
- Commuter benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending account
- Group pet insurance
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Pet-friendly office
- Retirement plan
- Skills training
- Vision insurance
- Volunteer time off
- Wellness day
Skills/Tech-stack
Behavior Modeling | Customer behavior | Customer behavior modeling | Data Analysis | Data Modeling | Data Warehousing | Databricks | Exploratory Data Analysis | Generalized Linear Models | Linear Models | Machine Learning | Power BI | Python | Regression | SQL | SQL Server | Segmenting | Snowflake | Statistical inference
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
Regions
Countries
States
Cities
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