Senior Data Scientist

Job Description
Our client, a leading insurance provider, is seeking a skilled Data Scientist to strengthen its next generation of data-driven decision systems. Operating in a highly regulated, fast-paced industry, this organization relies on advanced analytics to improve customer experience, enhance product design, and manage operational and financial risk.

In this role, you’ll collaborate with cross-functional teams to design and deploy predictive models that directly shape underwriting, claims, and fraud detection strategies. You’ll be responsible for turning large, complex datasets into actionable insights and safeguards, ensuring the integrity, efficiency, and resilience of core insurance operations.

This is a hybrid full-time role in Boston,

Required Skills & Experience

• 3–5 years in Data Science, Machine Learning, or a related quantitative role

• Proficiency in Python, R, SQL, and BigQuery, with hands-on experience delivering production-ready models

• Solid background in time-sensitive or high-volume data environments (insurance, financial services, or related industries a plus)

• Ability to work in evolving business contexts and adapt solutions to changing priorities

• Experience managing full project lifecycles independently

What You Will Be Doing

Tech Breakdown

• 50% Model Development & Feature Engineering

• 30% Risk Monitoring & Real-Time Detection

• 20% Internal Tooling & Stakeholder Reporting

Daily Responsibilities

• Build and enhance pipelines that convert raw policy, claims, and transaction data into usable features

• Develop predictive models for underwriting, pricing, fraud detection, and claims optimization

• Implement monitoring systems and controls to identify anomalies or exposures proactively

• Create dashboards, reports, and alerts to give visibility across business units

• Partner with engineers, actuaries, and product teams to embed intelligence into operational systems

The Offer

• Performance-based bonus

You Will Receive the Following Benefits

• Competitive salary with equity potential

• Comprehensive health benefits package

• PTO and flexible work arrangements

• Remote-first culture with a collaborative, growth-oriented team

Applicants must be authorized to work in the U.S. on a full-time basis now and in the future.