Senior Manager – Data Science, Pricing & Underwriting

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Lead, mentor, and cultivate a team of Data Scientists.

• Direct the strategy and long-term advancement of renewal risk assessment capabilities, including a premier renewal risk model and associated analytics.

• Prioritize and distribute resources across significant data science projects.

• Offer practical technical guidance for solution design, predictive modeling, machine learning, statistical analysis, forecasting, model evaluation, and risk assessment.

• Set benchmarks for peer review, documentation, validation, monitoring, performance tracking, governance, and model upkeep.

• Enhance model performance, explainability, reproducibility, reliability, and business significance while adhering to enterprise standards.

• Collaborate with pricing, underwriting, actuarial, data, technology, and analytics teams to transform business requirements into analytical plans and production-ready solutions.

• Articulate model outputs, assumptions, limitations, and recommendations to both technical and non-technical stakeholders.

• Facilitate the integration of analytical solutions into pricing and underwriting operations.

⛳️ Requirements

• Over 8 years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative discipline.

• Proven experience in developing predictive models, machine learning solutions, and advanced analytical techniques using large and complex datasets.

• Demonstrated experience leading Data Scientists and executing complex analytical projects that address business challenges and impact decision-making.

• In-depth understanding of statistical modeling, predictive analytics, machine learning, model evaluation, and experimental design.

• Skilled in Python, SQL, Spark, and machine learning frameworks.

• Experience in developing, validating, monitoring, and governing analytical models within production settings.

• Excellent communication and stakeholder management abilities, including the capacity to clarify complex concepts to diverse audiences.

• Capability to balance strategic leadership with hands-on technical involvement.

• A Bachelor's or advanced degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Operations Research, Engineering, or another relevant quantitative field is preferred.

• Familiarity with healthcare data, encompassing medical claims, pharmacy claims, eligibility, provider, consumer, or similar datasets.

• Experience in supporting pricing, underwriting, risk assessment, forecasting, or related business activities.

• Background in deploying and maintaining machine learning solutions in production environments.

• Experience leading cross-functional collaboration among business, analytics, and technology teams.

• Knowledge of responsible AI, model governance, and explainability practices.

• For remote work, a reliable internet connection must be secured through a cable broadband or fiber optic provider with a minimum speed of 10Mbps download and 5Mbps upload.

🏝️ Benefits

• Eligibility for annual bonus plan.

• Medical coverage.

• Vision coverage.

• Dental coverage.

• Access to well-being and behavioral health programs.

• 401(k) plan.

• Company-funded life insurance.

• Tuition reimbursement program.

• A minimum of 18 days of paid time off annually.

• Paid holidays.

• Leaves of absence.