Senior Data Scientist - Insurance Pricing (Remote)

Porch.com, Inc.; Washington; Hybrid; USD 139,000 - 194,000; Full time

Benefits offered by this job

Healthcare options

401(k) with employer match

Wellbeing program

Job summary

Porch Group is seeking a Senior Data Scientist, Insurance Pricing, to own development and deployment of homeowners insurance pricing and risk models. You will collaborate with actuarial, product, and engineering teams to translate Porch’s property data into pricing advantages, influencing underwriting and profitability.

You will lead GLM-based pricing and ML projects, mentor peers, and ensure rigorous deployment with A/B testing and monitoring, while exploring generative AI opportunities for

Qualifications

• 5+ years of experience in data science with depth in insurance pricing or risk modeling.
• Track record of technical ownership delivering complex projects end-to-end and mentoring other data scientists.
• Experience building GLM-based pricing models in production for homeowners or property/casualty lines; ML models for non-pricing use cases also.
• Proficiency in Python and SQL with GLMs and gradient boosting models.
• Experience with experimental design, including building, deploying, and A/B testing models in high-traffic environments.
• Experience with cloud-based data platforms (BigQuery, GCP) and MLOps (pipelines, versioning, monitoring).
• Proficiency with Confluence and Jira for documentation and project tracking in Agile/Scrum.

Responsibilities

• Contribute to modeling standards and best practices for insurance pricing and risk modeling.
• Support and mentor junior data scientists through code reviews and knowledge sharing.
• Build, validate, and deploy GLM-based pricing models (frequency, severity, loss cost).
• Develop ML models (GBMs, neural networks) to improve underwriting accuracy and profitability.
• Develop ensemble models predicting profitability, retention, and LTV to guide marketing and underwriting decisions.
• Incorporate non-traditional data sources (imagery, satellite data, government records) to quantify localized risk.
• Collaborate with product, actuarial, engineering to scope initiatives and integrate data science solutions.
• Work with actuarial to develop, file, and monitor regulatory-compliant predictive models.

Skills

Data science leadership

GLM pricing models

Python

SQL

Machine learning

A/B testing

Causal analysis

Geospatial analysis

Education

Master’s or PhD in a quantitative field

Tools

BigQuery

GCP

scikit-learn

xgboost

lightgbm

Confluence

Jira

Job description

Porch Group is seeking a Senior Data Scientist, Insurance Pricing, to own development and deployment of homeowners insurance pricing and risk models. You will collaborate with actuarial, product, and engineering teams to translate Porch’s property data into pricing advantages, influencing underwriting and profitability.

You will lead GLM-based pricing and ML projects, mentor peers, and ensure rigorous deployment with A/B testing and monitoring, while exploring generative AI opportunities for