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PURE Insurance · 15 hours ago

Sr. Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$120K/yr - $145K/yr

3+ years exp

PURE Insurance is a company that integrates data science into their core operations to enhance decision-making and deliver value to members. They are seeking a Senior Data Scientist to analyze complex datasets, build predictive models, and collaborate with various departments to drive data-driven solutions.

Building MaterialFinancial ServicesInsuranceReal Estate

Culture & Values

Responsibilities

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

Qualification

Data ScienceMachine LearningPythonSQLData VisualizationGitProperty & Casualty InsuranceData PipelinesStatistical TechniquesBachelor's DegreeCollaborative MindsetCommunication Skills

Required

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