About the role:

We are seeking an analytically minded Python developer to help build an in-house rating engine at PURE. The ideal candidate has experience contributing to large-scale Python codebases, writes clean and maintainable code, and enjoys partnering closely with business stakeholders to solve complex operational and analytical problems.

This role is well suited for someone who thrives at the intersection of software engineering and analytics, and who is comfortable navigating both independent and team-based development.

We value developers who approach engineering as a problem-solving discipline and who enjoy the process of understanding complex business challenges and designing elegant technical solutions.

What you'll do:

- Write clean and maintainable Python code.
- Collaborate with teammates to design and implement features in a shared, version-controlled Python codebase.
- Design, develop, and maintain both back-end and front-end code for various parts of the insurance rating lifecycle.
- Engage with stakeholders across different business units to gather requirements, understand their business needs, and translate them into technical solutions.
- Analyze customer data to understand rating logic and ensure accuracy of rating.
- Learn P&C insurance concepts and products and apply this knowledge to develop code-based solutions that meet business needs.

What you'll need:

- Proficiency in Python with experience in large codebases and version control systems (e.g., Git).
- Experience building internal tools, utilities, or applications that solve business problems and improve operational efficiency.
- Experience debugging and resolving data issues, with a focus on root cause analysis.
- Minimum 5 years of experience in a role that involves Python development and data analysis.
- Experience with front end development in JavaScript/Typescript is a plus.
- Experience with production deployment patterns is a plus.
- Familiarity with P&C insurance is a plus.
- Experience with Claude Code, Codex, or other agentic GenAI-based platforms is a plus.

General Description of the IDEAS Department

PURE Insurance is actively investing in our data, analytics, data science, machine learning (ML), and artificial intelligence (AI) capabilities. Toward this, we are building a centralized Data & ML/AI department with specialists across 10 key roles: Data Architects, Data Engineers, Analytics Engineers, Data Visualization Engineers, Data Product Managers, Data Analysts, Data Scientists, ML/AI Engineers, ML Operations (MLOps) Engineers, and Data Governance Professionals. As a member of the team, you will have unique opportunities for growth and collaboration since this diverse team structure allows you to deepen your expertise while gaining insights into related technical areas.

The combination of enterprise-wide specialization and department-specific problem-solving means you will engage with every function within the complex insurance ecosystem (from IT/Technology to all business units, including Underwriting, Claims, Customer Experience, Actuarial/Pricing, Product Management, Sales/Marketing, Distribution, HR, and Finance). Moreover, you will have the opportunity to shape, establish, and work with cutting-edge products within the modern Data & ML/AI technology stack, such as Databricks, dbt, GitHub, Hex, and Arize. In cases where it provides a competitive advantage, you will also develop in-house production-grade software in Python and other programming languages. Leveraging these technologies, you will streamline the transformation of first-party and third-party data into actionable insights, placing you at the forefront of innovation and directly driving business value.

The ideal candidate for the Data & ML/AI department at PURE Insurance embodies resolve and a commitment to doing the right thing, even when it requires taking the more challenging path forward. They balance delivering short-term value with building a robust, scalable foundation. This individual thrives in a dynamic and collaborative environment, communicates effectively with a diverse set of stakeholders, and prioritizes their time to align with our strategic goals. They are dedicated to leveraging their expertise and their colleagues' complementary skills to drive continuous improvement and learning. Above all, they are accountable, transparent, and take ownership of their responsibilities, fostering trust and high performance in the team.

All positions in the Data & ML/AI Department at PURE Insurance are for full-time remote employment, where you can work anywhere in the USA. If you prefer, you can also work at one of the PURE Insurance offices located throughout the USA, including White Plains (NY), New York (NY), Warren (NJ), Chicago (IL), Boston (MA), Charleston (SC), Atlanta (GA), Fort Lauderdale (FL), Scottsdale (AZ), San Francisco (CA), and San Diego (CA).

What We Do

We're a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members. We provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices.

We aim for our members to love their insurance. It is our mission is to create a membership experience so compelling that our members never want to leave.

Who You Are

All of the strongest relationships are a partnership- a two way street. So here's what we ask of you:

• Aim to bring your best every day: you're here because you want to be part of a team that makes a real impact and aims high.
• Be a student and a teacher: share your knowledge and talents and be willing to listen and learn from those around you.
• Get comfortable being uncomfortable: we face tough moments and obstacles with a "courage over comfort" approach and a positive, solutions-oriented mindset.
• Be a culture builder: building a positive culture is everyone's responsibility, based on care, respect and openness to diverse perspectives.

The base salary for this role can range from $145,000 to $175,000 based on a full-time work schedule. An individual's ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience

To ensure a successful onboarding experience, all new hires must work onsite at one of our offices during their first week of employment. Candidates should apply only if they are able to meet this requirement.

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