Senior Data Scientist

Senior Data Scientist – Commercial Insurance (Remote or Hybrid)

A fast-growing, tech-forward commercial insurance company is seeking a Senior Data Scientist to join its lean, high-impact team. This organization offers a simplified insurance product tailored for small businesses—covering everything from property risks and liability to more specialized exposures across various industries, such as hospitality, skilled trades, and professional services.

You’ll work alongside experienced industry operators in a collaborative, low-bureaucracy environment designed to challenge legacy players and drive innovation through data.

Key Responsibilities

Reporting directly to executive leadership, you will be tasked with developing and maintaining the company’s data science infrastructure, shaping key strategic decisions across the business.

• Develop statistical models and conduct research to support actuarial, claims, marketing, sales, engineering, and operational strategies.
• Analyze portfolio performance and competitiveness across customer segments.
• Build models for customer retention, lifetime value, lead scoring, and marketing effectiveness.
• Enhance rating and reserving techniques by integrating new data sources.
• Deploy your work into production workflows that serve multiple departments.
• Collaborate cross-functionally to ensure models reflect real-world domain expertise.
• Communicate analytical results in a clear, business-friendly manner to support data-driven decision-making.
• Ensure all code and analysis is reproducible, well-documented, and meets high standards of rigor and transparency.
• Apply robust statistical principles in sparse-data environments and clearly convey uncertainty in model outcomes.

Qualifications

• 5+ years of applied experience in data science, statistical modeling, or related analytical fields; experience in insurance or actuarial domains is strongly preferred.
• Deep understanding of statistical modeling, particularly Bayesian inference and simulation techniques.
• Proficiency in Python (or R) and SQL, and experience with libraries like PyMC or Stan.
• Familiarity with modern AI tools and awareness of the governance required to apply them responsibly.
• Strong organizational skills and a detail-oriented, methodical approach to problem-solving.
• Excellent communication skills and the ability to partner with cross-disciplinary teams.

Why Join Us

• Competitive salary depending on experience and location.
• Generous vacation, sick leave, and holiday schedule.
• Comprehensive health benefits.
• 401(k) with company match.
• Tuition reimbursement and career development support.
• Modern tools, a collaborative culture, and real ownership of your work.

This role offers a rare opportunity to influence the analytical direction of an insurance business from the inside, helping build smarter, more customer-centric products using data and technology.