Porch Group · United States
Skills: Python, SQL
Porch Group(https://himalayas.app/companies/porch-group) is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home.
As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.
In 2020, Porch Group(https://himalayas.app/companies/porch-group) rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.
Job Title:Staff Data Scientist, Insurance Pricing
Location:United States
Workplace Type:Remote
Job Summary
The future is bright for the Porch Group(https://himalayas.app/companies/porch-group), andwe’dlove foryou to be a part of it as our Staff Data Scientist, Insurance Pricing.
As one of the most senior individual contributors on our data science team, you will set technical direction for how Porch approaches homeowners insurance pricing and risk modeling, owning our most complex and ambiguous modeling problems end-to-end — from business strategy through production deployment. While GLM-based pricing sits at the core of this role, your influence will extend across profitability and retention modeling, geospatial risk analysis, and the adoption of emerging techniques like generative AI.You’llpartner closely with actuarial, product, and engineering leaders to translate Porch’s unique property data into a durable competitive advantage in underwriting and pricing. This is an ide …tru…
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