Porch Group is looking to transform the insurance and home services industries by leveraging unique property data to drive innovation, improve risk understanding, and optimize pricing strategies.
Requirements
- Proficiency in Python and R, and strong SQL skills.
- Experience building and deploying in high traffic environments
- Solid understanding of statistical modeling, machine learning, and data wrangling.
- Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP).
- Experience in insurance pricing and risk quantification
- Exposure to experimentation frameworks and causal inference methods.
Responsibilities
- Build and deploy advanced predictive models that support pricing, retention, and customer satisfaction initiatives.
- Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business.
- Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows.
- Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, identifying new opportunities to apply data science for competitive advantage.
Other
- At least 5 years of experience in data science
- Strong communication skills and the ability to translate complex data into actionable insights.
- Actuarial Certifications ACAS and/or FCAS
- Remote workplace type
- 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.
