Genworth is seeking a Data Scientist Manager to lead advanced analytics initiatives that strengthen our long-term care, mortgage, and protection product portfolio. You will manage a team of data scientists to design, build, and deploy predictive and risk models that inform pricing, underwriting, and customer strategies. Partnering with actuarial, finance, and product leaders, you'll transform complex data into actionable insights while upholding rigorous model governance and regulatory standards. This role offers the opportunity to innovate for aging populations and families in a collaborative, mission-driven environment.
Responsibilities
- Lead a team of data scientists delivering predictive and risk models for insurance and financial products
- Partner with finance, actuarial, underwriting, and product teams to translate business needs into analytical solutions
- Design, build, and validate machine learning models for pricing, risk assessment, and customer analytics
- Oversee data pipelines, feature engineering, and model deployment in production environments
- Ensure model governance, documentation, and regulatory and compliance alignment
- Communicate insights and recommendations to senior leaders through clear narratives and visualizations
- Mentor and develop data science talent, establishing best practices and standards
- Drive experimentation, A/B testing, and continuous improvement of models and analytics products
Required Skills
- Machine learning modeling (classification, regression, time series)
- Statistical analysis and experimental design
- Python or R programming
- SQL and relational databases
- Big data platforms (e.g., Spark, Hadoop) or cloud data services
- Model deployment and MLOps practices
- Data pipeline development and feature engineering
- Data visualization (e.g., Tableau, Power BI, matplotlib)
- Insurance/financial risk and pricing analytics
- People management and technical leadership