Senior Data Scientist: Insurance Pricing & Risk (Remote)

Porch; Seattle (WA); Remote; USD 139,000 - 194,000; Full time

Benefits offered by this job

Long-term incentive

Medical plan options

Dental plan options

Vision plan

401(k) plan with match

Flexible vacation

Company holidays

Job summary

Porch Group is seeking a Senior Data Scientist in Seattle with remote options to develop GLM-based pricing models and advanced ML solutions for homeowners insurance. You will lead modeling standards, mentor junior scientists, and collaborate with actuarial, product, and engineering teams to deploy models in production and ensure regulatory compliance.

You will explore non-traditional data sources, conduct A/B testing, and refine models for profitability and pricing accuracy, leveraging BigQuery

Qualifications

• 5+ years in data science with depth in pricing or risk modeling.
• Technical ownership delivering complex projects end-to-end and mentoring others.
• Experience building GLM-based pricing models in production for homeowners or similar lines.
• Proficiency in Python and SQL, with GLMs and gradient boosting models.
• Experience with experimental design, including A/B testing in high-traffic environments.
• Cloud-based data platforms (BigQuery, GCP) and MLOps practices.
• Familiarity with Confluence and Jira in Agile/Scrum settings.
• Nice to have actuarial background or insurance mathematics.

Responsibilities

• Establish modeling standards and best practices for insurance pricing and risk modeling.
• Provide code review, knowledge sharing, and guidance to junior data scientists.
• Build, validate, and deploy GLM-based models for homeowners pricing (frequency, severity, loss cost).
• Create ML models (GBMs, neural networks) for underwriting accuracy and profitability.
• Develop ensemble models for insured-level profitability, retention, and conversion, incl. LTV models.
• Incorporate non-traditional data sources (aerial imagery, satellite, govt records) for risk quantification.
• Collaborate with product, actuarial, engineering, and business stakeholders to integrate data science into workflows.
• Work with actuarial teams to file and monitor regulatory models.

Skills

Python

SQL

GLM-based modeling

Machine learning

A/B testing

BigQuery

GCP

Confluence

Jira

Statistics

Education

Masters or PhD in Statistics, Mathematics, Computer Science, or related quantitative field

Tools

scikit-learn

statsmodels

xgboost

lightgbm

Job description

Porch Group is seeking a Senior Data Scientist in Seattle with remote options to develop GLM-based pricing models and advanced ML solutions for homeowners insurance. You will lead modeling standards, mentor junior scientists, and collaborate with actuarial, product, and engineering teams to deploy models in production and ensure regulatory compliance.

You will explore non-traditional data sources, conduct A/B testing, and refine models for profitability and pricing accuracy, leveraging BigQuery