At PURE Insurance, data science is more than just algorithms and models - it’s a core part of how we solve problems, guide decisions, and deliver value to our members. Our team works across the entire business - from underwriting and claims to marketing, finance, and risk management - designing and implementing data-driven solutions that improve operations, support strategic goals, and ultimately serve our membership with excellence and care.

We are hiring a Senior Data Scientist to join our growing team. This hands-on, high-impact role offers the opportunity to collaborate across departments, work with a modern data stack, and contribute directly to initiatives that influence key decisions and outcomes across the company.

What you'll do:

Analyze large and complex datasets to uncover patterns, generate insights, and support strategic decision-making.
Build predictive models and machine learning algorithms to address a wide range of business problems.
Create scalable data pipelines and streamline processes through automation.
Collaborate with cross-functional teams including underwriting, claims, risk, actuarial, and marketing to understand needs and deliver data science solutions that matter.
Communicate results and recommendations clearly to both technical and non-technical stakeholders through presentations, visualizations, and written reports.
Develop high-quality modeling datasets by integrating internal and third-party data sources.
Monitor deployed models and continuously improve performance through evaluation, tuning, and retraining.
Work with a modern tech stack that includes Python, SQL, Databricks, dbt, GitHub, Hex, Arize, and other contemporary platforms and tools.

What we're looking for:

3 to 5 years of experience in data science, applying statistical and machine learning techniques to solve business problems.
At least 2 years of experience working in the Property & Casualty (P&C) insurance industry.
Proficient in Python (pandas, NumPy, scikit-learn, and others) for data science and machine learning.
Proficient in SQL for data querying and management.
Strong working experience with Git and version control workflows in a collaborative environment.
Familiarity with tools for data visualization (e.g., matplotlib, seaborn, Plotly), and experience communicating findings through dashboards or reporting tools.
Comfort working with modern ML/AI libraries and techniques; exposure to natural language processing, geospatial data, or unstructured data (e.g., text, image, audio) is a plus.
Experience querying large databases and transforming raw data into structured modeling-ready datasets.
A collaborative mindset with the ability to take ownership and work independently in a fast-paced, cross-functional setting.
A Bachelor's degree or higher in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or Applied Mathematics.

Why PURE?

PURE’s investment in data and technology is part of a larger, long-term strategy to drive sustainable growth, reduce friction, prevent losses, and expand solutions for our members. As part of this journey, we’re building a modern, scalable foundation for data science and machine learning - one that’s designed to support meaningful transformation across the business.

You’ll be joining a collaborative and high-performing team where ownership, transparency, and impact are core to how we operate. Your work will influence decisions, improve member outcomes, and contribute to some of the most important strategic initiatives at PURE.

Ready to make an impact?

Apply now and help us build a best-in-class data science function at PURE Insurance.

The base salary for this role can range from $120,000 to $145,000 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

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