Private Client Select · 22 hours ago
Data Science Manager
Private Client Select Insurance Services, LLC (PCS) is a leading managing general underwriter focusing on high net worth clients. The Data Science Manager will lead a team in developing advanced analytics and AI solutions to enhance underwriting precision and risk management for complex portfolios.
Auto InsuranceFinancial ServicesInsuranceProperty InsuranceRisk Management
Responsibilities
Lead, coach, and inspire a team of data scientists in the development of models and analytics to drive underwriting precision, business optimization, claims triage, and fraud detection within the high net worth (HNW) segment
Translate business challenges—such as evaluating complex risk profiles or identifying risk accumulation—into data science solutions that deliver measurable value
Build and maintain predictive models that support bespoke underwriting for unique assets (e.g., high-value homes, fine art, aircraft), including property loss estimation and lifestyle-based risk scoring
Partner closely with underwriting, actuarial, risk engineering, and claims teams to embed AI/ML tools into the workflow, ensuring business usability and interpretability
Champion the development and governance of explainable, compliant, and ethically sound models in accordance with regulatory standards and HNW client expectations
Drive innovation in client segmentation, concierge service prioritization, and portfolio risk forecasting
Collaborate with data engineering and IT to ensure robust data pipelines, infrastructure, and scalable MLOps practices
Ensure end-to-end quality in model development, deployment, and monitoring
Present strategic insights and opportunities with clarity and precision to senior leadership and cross-functional stakeholders
Qualification
Required
B.S. in Data Science, Mathematics, Statistics, Computer Science, or related field
5+ years of post-college work experience in applied data science, including 2+ years in a leadership capacity
Strong understanding of HNW insurance markets, including personal lines underwriting, risk selection & classification, and customer expectations
Demonstrated success in building and deploying predictive models in production environments
Strong analytical and problem-solving skills
Ability to work productively and collaboratively with remote business partners
Effective time management skills
Expert knowledge of Python, R, SQL, and machine learning libraries
Advanced proficiency with structured and unstructured multidimensional data, including data validation, ETL, data privacy, and advanced analytical techniques appropriate for both the data and its intended purpose
Deep appreciation and commitment to privacy, discretion, and the elevated service standards required in HNW client engagements
Excellent communication, presentation, customer focus and interpersonal skills
Comfort with MS Office tools for interaction with partners outside the Data Science team
Applicants must be legally authorized to work in the United States and must not require employment-based visa sponsorship now or in the future
Preferred
Advanced degree
Previous experience with HNW insurance carriers or brokers
Knowledge of HNW insurance exposures
Familiarity with third-party data sources relevant to personal lines insurance exposures or the HNW market
Experience with cloud computing platforms (e.g. AWS, Azure) and tools
CSPA, CPCU, or similar insurance credentials
Company
Private Client Select
Private Client Select offers property insurance, auto insurance, financial services, and risk management services.
Funding
Current Stage
Growth StageRecent News
2025-01-08
Company data provided by crunchbase