Senior Data Scientist, Insurance Pricing (Remote)

Porch

Washington

Remote

USD 169,000 - 236,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Wellbeing program
Paid time off

Job summary

The Porch Group is seeking a Staff Data Scientist, Insurance Pricing to lead pricing and risk modeling. You will set technical direction, mentor other data scientists, and deploy GLM-based models for homeowners pricing, while advancing profitability, retention, and LTV analyses at scale.

You will collaborate with actuarial, product, and engineering teams to leverage property data and emerging techniques, including AI, to strengthen underwriting and pricing strategies.

Qualifications

  • 10+ years of experience in data science, with significant depth in insurance pricing or risk modeling.

Responsibilities

  • Set the technical vision for insurance pricing and risk modeling, establishing best 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, profitability.
  • Develop ensemble models predicting insured-level profitability, customer retention, and conversion, including LTV models to prioritize marketing and underwriting strategies.
  • Lead use of non-traditional data sources 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

Leadership
Python
SQL
GLM-based pricing
Machine learning

Education

Masters/PhD preferred

Tools

BigQuery
GCP
scikit-learn
xgboost
lightgbm

Job description

The Porch Group is seeking a Staff Data Scientist, Insurance Pricing to lead pricing and risk modeling. You will set technical direction, mentor other data scientists, and deploy GLM-based models for homeowners pricing, while advancing profitability, retention, and LTV analyses at scale.

You will collaborate with actuarial, product, and engineering teams to leverage property data and emerging techniques, including AI, to strengthen underwriting and pricing strategies.

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