Attune is making it easier, faster, and more reliable for small businesses to access insurance. They all need insurance to protect their businesses, but when it comes time to get a policy, they’re bogged down by hundreds of questions, lots of paperwork, and a seemingly never-ending timeline stretching for weeks or months. Attune is changing all that by leveraging data and technology expertise to understand risk, automating legacy processes, and enhancing the user experience for brokers, to provide policies that are more tailored and transparent in just minutes.
Requirements
- Hands-on experience with predictive modeling, including regression, classification, clustering, and other ML techniques
- Familiarity with advanced statistical modeling (Bayesian modeling, hierarchical models, etc.) is a plus
- Proficiency in Python and SQL
- Bonus: Familiarity with P&C insurance data and industry-specific modeling challenges
Responsibilities
- Develop predictive models, test hypotheses, explore new data sources, and integrate your findings into the tools and workflows that power our business.
- 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.
- Develop predictive models and statistical analyses to support pricing, reserving, underwriting, and claims initiatives.
- 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.
- Contribute to the improvement of our internal data infrastructure, helping to optimize our reporting and dashboarding ecosystem.
Other
- Partner with teams across the business—from Underwriting to Customer Experience—to understand their goals and identify how data can drive better decisions.
- Translate business needs into analytical approaches and communicate findings in a clear, actionable way.
- Excited about working with business leads across many different functions to solve real day-to-day problems using data
- 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.
- Remote-first culture
