Data Science Director - Precision Pricing / UW - Hybrid
Posted 2025-08-15
Remote, USA
Full Time
Immediate Start
About the position
We are seeking a highly skilled and innovative Data Science Director to join our team. This role will report directly to the leader of the US Employer Precision Underwriting/Pricing Program, a critical segment priority. The Data Science Director will play a pivotal role in advancing the integration of new technologies, including AI and Machine Learning, throughout our Underwriting Quoting Process. You will lead a dynamic team of data scientists and collaborate closely with Actuarial, Underwriting, and Data & Analytics teams to drive profitable growth and enhance our underwriting and pricing strategies.
Responsibilities
• Lead the development of advanced statistical and machine learning models to support underwriting and pricing initiatives
,
• Design experiments using innovative modeling techniques and data sources to assess effectiveness at predicting claims costs and other drivers
,
• Deepen understanding of client and/or customer-level variability through use of sophisticated modeling techniques
,
• Assess existing data infrastructure and influence strategic decision-making around future data investments
,
• Provide strategic recommendations to senior leadership based on data analysis and business insights
,
• Foster a culture of continuous improvement and innovation within the data science team
,
• Build and maintain strong relationships with various stakeholders (data science COE, pricing, underwriting, etc.)
Requirements
• Advanced degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience
,
• Proven experience in leading data science teams and managing cross-functional projects
,
• Expertise in statistical modeling and machine learning techniques such as regression, decision trees, boosting algorithms, neural networks, supervised/unsupervised clustering techniques, and graph analytics
,
• Strong proficiency in programming languages such as Python, R, or SQL
,
• Experience with data mining architectures, models, protocols, and statistical reporting
,
• In-depth knowledge of the healthcare payer space and the ability to bring in an outside perspective
,
• Exceptional problem-solving skills and the ability to perform insightful and actionable quantitative analysis
,
• Strong interpersonal skills and the ability to build relationships and navigate within a complex organization
,
• Excellent communication skills and the ability to influence stakeholders at all levels
Nice-to-haves
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Benefits
• Comprehensive health-related benefits including medical, vision, dental, and well-being and behavioral health programs
,
• 401(k) with company match
,
• Company paid life insurance
,
• Tuition reimbursement
,
• Minimum of 18 days of paid time off per year
,
• Paid holidays Apply tot his job
We are seeking a highly skilled and innovative Data Science Director to join our team. This role will report directly to the leader of the US Employer Precision Underwriting/Pricing Program, a critical segment priority. The Data Science Director will play a pivotal role in advancing the integration of new technologies, including AI and Machine Learning, throughout our Underwriting Quoting Process. You will lead a dynamic team of data scientists and collaborate closely with Actuarial, Underwriting, and Data & Analytics teams to drive profitable growth and enhance our underwriting and pricing strategies.
Responsibilities
• Lead the development of advanced statistical and machine learning models to support underwriting and pricing initiatives
,
• Design experiments using innovative modeling techniques and data sources to assess effectiveness at predicting claims costs and other drivers
,
• Deepen understanding of client and/or customer-level variability through use of sophisticated modeling techniques
,
• Assess existing data infrastructure and influence strategic decision-making around future data investments
,
• Provide strategic recommendations to senior leadership based on data analysis and business insights
,
• Foster a culture of continuous improvement and innovation within the data science team
,
• Build and maintain strong relationships with various stakeholders (data science COE, pricing, underwriting, etc.)
Requirements
• Advanced degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience
,
• Proven experience in leading data science teams and managing cross-functional projects
,
• Expertise in statistical modeling and machine learning techniques such as regression, decision trees, boosting algorithms, neural networks, supervised/unsupervised clustering techniques, and graph analytics
,
• Strong proficiency in programming languages such as Python, R, or SQL
,
• Experience with data mining architectures, models, protocols, and statistical reporting
,
• In-depth knowledge of the healthcare payer space and the ability to bring in an outside perspective
,
• Exceptional problem-solving skills and the ability to perform insightful and actionable quantitative analysis
,
• Strong interpersonal skills and the ability to build relationships and navigate within a complex organization
,
• Excellent communication skills and the ability to influence stakeholders at all levels
Nice-to-haves
undefined
Benefits
• Comprehensive health-related benefits including medical, vision, dental, and well-being and behavioral health programs
,
• 401(k) with company match
,
• Company paid life insurance
,
• Tuition reimbursement
,
• Minimum of 18 days of paid time off per year
,
• Paid holidays Apply tot his job