Staff Data Scientist, Insurance Pricing & Risk (Remote)

Porch Group; United States; Remote; USD 169,000 - 236,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plan

401(k) with company match

Paid vacation and holidays

Job summary

Porch Group is hiring a Staff Data Scientist, Insurance Pricing to set the technical direction for homeowners insurance pricing and risk modeling. You will own complex modeling end-to-end, from business strategy to production deployment, influencing profitability and retention through GLM-based pricing and advanced ML techniques.

Collaborate with actuarial, product, and engineering leaders, mentor other data scientists, and drive measurable business value at scale while exploring generative AI

Qualifications

• 10+ years of experience in data science, with insurance pricing or risk modeling.
• Proven track record of technical leadership and mentoring data scientists.
• Expertise architecting, validating, and deploying GLM-based pricing models in production, ideally for homeowners or other property/casualty lines, as well as machine learning models for non-pricing use cases.
• Proficiency in Python and SQL, with experience implementing GLMs and gradient boosting models (scikit-learn,statsmodels,xgboost,lightgbm).

Responsibilities

• Set the technical vision for insurance pricing and risk modeling, establishingbest practices and modeling standards across the team
• Provide technical oversight and mentorship to other data scientists
• Architect and deploy GLM-based models (frequency, severity, and loss cost) for homeowners insurance pricing
• Build machine learning models (GBMs, neural networks, etc.) that drive underwriting accuracy, competitive positioning, and profitability
• Develop ensemble models predicting insured-level profitability, customer retention, and conversion, including customer lifetime value (LTV) models to prioritize marketing and underwriting strategies
• Lead use of non-traditional data sources — aerial imagery, satellite data, government records, building permits — to quantify localized risk and inform strategic decisions
• Partner with product, actuarial, engineering, and business leaders to scope high-priority initiatives and integrate data science solutions into operational workflows
• Work with the actuarial team to develop, file, implement, and monitor new predictive models that meet regulatory requirements
• Champion rigorous deployment practices in high-traffic environments, including A/B testing, performance monitoring, and continuous refinement
• Drive a culture of experimentation, evaluating emerging techniques including generative AI and LLMs to identify new opportunities for competitive advantage

Skills

GLM-based pricing

Python

SQL

Machine learning

A/B testing

Geospatial data analysis

Leadership

Experiment design

Education

Master’s or PhD in Statistics/Mathematics/Computer Science

Tools

BigQuery

GCP

Scikit-learn

XGBoost

LightGBM

Confluence

Jira

Job description

Porch Group is hiring a Staff Data Scientist, Insurance Pricing to set the technical direction for homeowners insurance pricing and risk modeling. You will own complex modeling end-to-end, from business strategy to production deployment, influencing profitability and retention through GLM-based pricing and advanced ML techniques.

Collaborate with actuarial, product, and engineering leaders, mentor other data scientists, and drive measurable business value at scale while exploring generative AI