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The future is bright for the Porch Group, and we’d love for you 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’ll partner 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 ideal role for a seasoned practitioner who wants to shape strategy, mentor other data scientists, and drive measurable business value at scale.
The future is bright for the Porch Group, and we’d love for you 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’ll partner 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 ideal role for a seasoned practitioner who wants to shape strategy, mentor other data scientists, and drive measurable business value at scale.
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10+ years of experience in data science, with significant depth in insurance pricing or risk modeling
Track record of technical leadership — setting direction on complex projects, establishing standards, and mentoring or providing technical oversight to other data scientists
Demonstrated 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 )
Experience with experimental design, including building, deploying, and A/B testing models in high-traffic environments, as well as causal analysis
Experience with cloud-based data platforms (e.g., BigQuery , GCP) and MLOps practices such as model training pipelines, versioning, and monitoring
Proficiency with Confluence and Jira for documentation and project tracking in an Agile/Scrum environment
Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field preferred
Nice to have: background in actuarial science or insurance mathematics, including experience collaborating with actuarial teams on regulatory model filing
Nice to have: experience with customer lifetime value, retention, or conversion modeling
Nice to have: experience with geospatial or spatial data analysis (aerial imagery, satellite data, or property-level geographic datasets)
Nice to have: exposure to generative AI and LLMs, including prompt engineering or fine-tuning for insurance or financial services use cases
Nice to have: exposure to experimentation frameworks and causal inference methods
Nice to have: experience with model governance, validation frameworks, and regulatory compliance in insurance
The application window for this position is anticipated to close in 2 weeks (10 business days) from 8/27/2026. Please know this may change based on business and interviewing needs.
At this time , Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia.
Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!
Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.
Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website .
Public U.S. homeowners insurance and vertical software platform serving homebuyers and home-service companies.
Visit company websiteJobs and hiring trendsUSD 168800-236300 yearly / year
Full-time
Senior · 10+ years experience
Remote
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