Role 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 languages (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.