Data Scientist - Pricing at Porch

Porch Group is a leading vertical software and insurance platform dedicated to helping homeowners move, maintain, and protect their properties. We have built strong relationships with approximately 30,000 companies in the home-buying space, including mortgage lenders and home inspectors. Since going public on the Nasdaq in 2020, we have continued to grow our footprint, and we are just getting started on our mission to provide superior service and protection to homeowners across the country.

What is this role?

We are looking for a Senior Data Scientist to join our team on a full-time, remote basis. This position focuses on the pricing and rating algorithms used within our insurance business unit. You will be a key player in refining our risk assessment strategies and ensuring our pricing remains competitive and compliant. This is an ideal role for someone with a strong background in insurance analytics who wants to make a direct impact on our growth and market strategy.

What will you do?

• Develop and enhance predictive models and algorithms specifically for property insurance pricing by utilizing advanced machine learning and statistical techniques.
• Analyze large, complex datasets to uncover trends and correlations that directly influence insurance risk and pricing outcomes.
• Partner closely with our actuaries, product managers, and business stakeholders to translate complex business needs into effective, data-driven analytical solutions.

What makes you a great fit?

To succeed in this role, you should have at least 3 years of experience in developing pricing models, ideally within the homeowners insurance industry. We are looking for someone who brings the following qualifications:

• An advanced degree in a quantitative field such as Statistics, Mathematics, Computational Science, or Actuarial Science.
• Proficiency in Python or R for data analysis and programming.
• A solid grasp of insurance principles, risk assessment, and actuarial concepts.
• Strong communication skills, allowing you to explain intricate analytical findings to non-technical team members.
• Experience with data manipulation and working with both structured and unstructured datasets.

What's in it for you?

The annual salary range for this position is $134,300 to $196,900. In addition to your base pay, you will be eligible for long-term incentive awards. We also provide a comprehensive benefits package designed to support your health and financial well-being, including:

• Remote work flexibility and flexible hours.
• Three medical plan options, plus dental and vision insurance.
• Company-paid life, AD&D, and disability insurance.
• Traditional and Roth 401(k) plans with a discretionary employer match.
• Paid time off, including vacation, holidays, and sick leave.
• Professional development resources and wellness programs, including access to Headspace and Brio Health.