attune, a Rizing Company

Data Scientist

• Partner with teams across the business—from Underwriting to Customer Experience—to understand their goals and identify how data can drive better decisions. You’ll translate business needs into analytical approaches and communicate findings in a clear, actionable way.
• Analyze customer and broker behavior to improve engagement, retention, and conversion. This includes usage patterns, and anomaly detection to flag unusual or risky behavior.
• Investigate business problems and test hypotheses using rigorous data exploration. Examples might include: What types of risks are associated with higher loss ratios? How do product usage patterns correlate with retention? Where can we find operational efficiencies?
• Develop predictive models and statistical analyses to support pricing, reserving, underwriting, and claims initiatives. You’ll apply a mix of statistical and machine learning techniques (e.g., regression, classification, clustering) to solve complex business problems with real-world impact.
• Explore new internal and third-party datasets, evaluate their usefulness, and incorporate them into models and dashboards to unlock new insights or increase model performance.
• Operationalize your work by integrating models into tools and workflows used by other departments. Collaborate with engineering and product to ensure insights are accessible, scalable, and reliable.
• Contribute to the improvement of our internal data infrastructure, helping to optimize our reporting and dashboarding ecosystem.
• Support ad-hoc data requests and deep dives, helping teams get quick answers to pressing questions and identifying longer-term opportunities for automation or model development.