Staff Data Scientist (Insurance Risk and Pricing)

Porch Group; United States; Remote; USD 169,000 - 236,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plan

401(k) with company match

Paid vacation and holidays

Job summary

Porch Group is hiring a Staff Data Scientist, Insurance Pricing to set the technical direction for homeowners insurance pricing and risk modeling. You will own complex modeling end-to-end, from business strategy to production deployment, influencing profitability and retention through GLM-based pricing and advanced ML techniques.

Collaborate with actuarial, product, and engineering leaders, mentor other data scientists, and drive measurable business value at scale while exploring generative AI

Qualifications

• 10+ years of experience in data science, with insurance pricing or risk modeling.
• Proven track record of technical leadership and mentoring data scientists.
• 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).

Responsibilities

• Set the technical vision for insurance pricing and risk modeling, establishingbest 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, competitive positioning, and profitability
• Develop ensemble models predicting insured-level profitability, customer retention, and conversion, including customer lifetime value (LTV) models to prioritize marketing and underwriting strategies
• Lead use of non-traditional data sources — aerial imagery, satellite data, government records, building permits — 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

GLM-based pricing

Python

SQL

Machine learning

A/B testing

Geospatial data analysis

Leadership

Experiment design

Education

Master’s or PhD in Statistics/Mathematics/Computer Science

Tools

BigQuery

GCP

Scikit-learn

XGBoost

LightGBM

Confluence

Jira

Job description

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 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, 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 ideal role for a seasoned practitioner who wants to shape strategy, mentor other data scientists, and drive measurable business value at scale.

What You Will DoAsAStaff Data Scientist, Insurance Pricing

• Set the technical vision for insurance pricing and risk modeling, establishingbest 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, competitive positioning, and profitability
• Develop ensemble models predicting insured-level profitability, customer retention, and conversion, including customer lifetime value (LTV) models to prioritize marketing and underwriting strategies
• Lead use of non-traditional data sources — aerial imagery, satellite data, government records, building permits — 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

What You Will BringAsAStaff Data Scientist, Insurance Pricing

• 10+ years of experience in data science, with significant depth in insurance pricing or risk modeling
• Track recordof technical leadership — setting direction on complex projects, establishingstandards, and mentoring or providing technical oversight to other data scientists
• Demonstratedexpertisearchitecting, 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
• Proficiencyin 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 MLOpspractices such as model training pipelines, versioning, and monitoring
• Proficiencywith 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 tohave:background in actuarial science or insurance mathematics, including experience collaborating with actuarial teams on regulatory model filing
• Nice tohave:experience with customer lifetime value, retention, or conversion modeling
• Nice tohave:experience with geospatial or spatial data analysis (aerial imagery, satellite data, or property-level geographic datasets)
• Nice tohave:exposure to generative AI and LLMs, including prompt engineering or fine-tuning for insurance or financial services use cases
• Nice tohave:exposure to experimentation frameworks and causal inference methods
• Nice tohave:experience with model governance, validation frameworks, and regulatory compliance in insurance

The application window for this position isanticipatedto close in 2 weeks (10 business days) from 8/27/2026. Pleaseknowthis may change based on business and interviewing needs.

At this time, Porch Group does not consider applicants from the following states or jurisdictionsfor Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia.

What You Will GetAsAPorch Group Team Member

Pay Range*:

$168,800 – $236,300 annually

*Please know your actual pay at Porch will reflect a number offactors amongwhich areyour work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location.

Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals.

Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing.

• Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose.
• Critical Illness, HospitalIndemnityand Accident plans are offered on a voluntary basis.
• We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options.
• We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans.
• Both traditional and Roth 401(k) plans are available with a discretionary employermatch.
• Supportlincis part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinicalcareand online access to confidential resources including will preparation.
• LifeBalanceis a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more.
• Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travelassistance, and fitness and otherdiscountsprograms.

#LI-NH1

#LI-Remote

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.