Senior Data Scientist – Predictive Modeling, Property Insurance
Kingstone Insurance Company
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $110,000 - $160,000 per year
Job Level
Senior
Tech Stack
PythonSQL
About the role
- Design, build, and deploy pricing, underwriting, and customer demand models to continuously improve Kingstone’s profitability and growth.
- Oversee end-to-end model development and application.
- Lead modeling or data projects and guide junior data scientists.
- Continuously refresh and enhance existing models.
- Own data management for the modeling function, including data collection, integration, cleaning, processing and transformation.
- Explore new data sources and analytical techniques to ensure competitive advantage.
- Communicate analysis, insights, and results to team, business partners, and leaders.
- Share expertise with the business and the actuarial community through discussions, presentations, or peer reviews to improve business outcomes.
Requirements
- An advanced degree in Statistics, Data Science, or a related field; or a bachelor’s degree with 7+ years of predictive modeling experience.
- 5+ years of experience working in a data science modeling development position in the insurance field.
- Experience working for a personal lines P&C insurance carrier, preferably with experience in the Homeowners business.
- Expertise in Microsoft Office tools, SQL, and R or Python.
- Hands-on modeling experience with large-scale datasets and a deep understanding of predictive modeling, data mining, and other quantitative and research analytics (Generalized Linear Models, Multivariate Analysis, Bayesian Methods, Non-Linear Models, Decision Trees, Parametric estimation, Machine learning techniques, etc.).
- Intensive experience managing, processing and analyzing data for modeling purposes.
- Industry expertise in predictive analytics tools, regression models, and software (preferably Earnix) is required.
- Self-motivation and capability of independently and proactively advancing projects.
- Strong willingness to learn and attention to detail.
- Excellent communications skills including verbal, written, and presentation skills.
- Collaborative strengths and ability to work as part of a team as well as cross-functionally.
- Ability to develop and deliver communications for complex technical projects to non-technical audiences (appropriate audience, level of detail, urgency).
Benefits
- Comprehensive health benefits
- Life and disability insurance
- 401(k) with company match
- Paid parental leave
- Paid vacation, paid holidays, and birthday off
- Peer recognition program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
predictive modelingdata miningGeneralized Linear ModelsMultivariate AnalysisBayesian MethodsNon-Linear ModelsDecision TreesMachine learning techniquesdata processingdata analysis
Soft skills
self-motivationattention to detailexcellent communication skillscollaborative strengthsability to work cross-functionallypresentation skillsverbal communicationwritten communicationindependent project advancementguiding junior data scientists