Principal, Analytics and Data Science – Pricing Forecasting

Job Description:

• Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
• Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
• Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
• Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
• Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
• Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
• Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes.
• Ensure analytical models are interpretable, validated, and production‑ready.
• Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.

Requirements:

• 5+ years of experience in providing analytical leadership and expertise to forecasting and financial software products.
• Deep expertise in causal inference, including causal modeling frameworks and bias-adjustment techniques
• Experience building counterfactual and “what-if” scenario analysis systems at scale.
• Strong background in time-series forecasting and predictive modeling using modern statistical and machine learning approaches.
• Proven ability to design and operationalize end-to-end analytics or ML pipelines.
• 5+ years of strong Python skills and working knowledge of SQL and distributed data platforms (e.g., Spark).
• 5+ years of demonstrated success translating ambiguous business and product questions into measurable analytical solutions.
• 5+ years of experience partnering with product, engineering, and business leaders to influence strategy and outcomes.
• Track record of delivering analytics and reporting capabilities adopted by business and executive stakeholders.
• Strong executive communication and storytelling skills.
• 5+ years of experience mentoring and leading senior data science and analytics professionals.
• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferred.

Benefits:

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs