Job DescriptionRole Summary
We are seeking a results-driven and inquisitive Data Scientist to join our team, focused on driving value and innovation in pet insurance pricing and analytics. This is an opportunity to make a measurable impact in a growing and dynamic market by leveraging data to inform pricing strategies, improve customer outcomes, and shape our product roadmap.
Responsibilities
* Develop, validate, and deploy machine learning models to support pricing, risk segmentation, and customer behavior analysis.
* Identify and evaluate pricing opportunities through data analysis, hypothesis testing, and experimentation.
* Collaborate with underwriting and product teams to embed data-driven insights into business decisions.
* Enhance and maintain predictive models and data pipelines in production environments.
* Conduct exploratory data analysis to uncover trends, anomalies, and actionable insights.
* Contribute to building a strong data science culture through peer review, knowledge sharing, and technical leadership.
Experience, Qualifications & Skills
* Attributes of a successful candidate
* You have experience in insurance, pet insurance, or pet insurance pricing
* You can build, test, deploy, and maintain machine learning models in a production environment (GLM, GBM)
* You have a demonstrated ability to perform statistical analysis and experimental design
* You are competent in SQL, scripting (e.g. Python), and/or statistical/mathematical software (e.g. R).
Nice to Have
* You have a BSc in Data Science, Statistics, Computer Science (or an equivalent field)
* You have experience using version control tools (E.g. Git)
* You have experience constructing, deploying, and maintaining dashboards using interactive data visualization tools (e.g. Power BI, Tableau)
What Success Looks Like
* You proactively identify and test new pricing levers that drive business value.
* You bring a rigorous, data-driven perspective to strategic discussions.
* Your models and analyses are robust, explainable, and actionable.
* You make measurable contributions to pricing accuracy and business performance.
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