Petcover is a global pet insurance provider covering all animals from budgies to bulldogs and skinks to stallions. We are the leading pet insurance provider in Australia and New Zealand and are growing rapidly in the UK and Europe.Pets are at the heart of our business and our employees; supporting pet parents is what we do best, and why we love working at Petcover.We are looking for a pricing data analyst to support our MIS and Underwriting teams with extracting, analysing and interpreting key data from our pricing software.ResponsibilitiesBuild and refine statistical and machine learning models to improve risk-cost estimation, loss ratio prediction, and overall pricing accuracy.Perform data analysis to support customer segmentation, performance monitoring, and model enhancements.Model quote-to-sale demand and assess the impact of proposed rating changes on loss ratios.Utilise actuarial techniques, including GLMs and advanced modelling approaches, to support pricing decisions and actuarial investigations.Produce loss ratios, valuations, and regular portfolio updates.Identify and implement innovative pricing solutions to drive policy growth and improve profitability.Contribute to the development of new financial products and enhancements to existing offerings.Conduct regular reviews of pricing, valuation, and reporting methodologies.Perform actuarial research programmes using computer-based modelling techniques.Monitor risk within trading or pricing decisions to ensure appropriate risk levels are maintained.Advise managers and directors on risk limitations and model implications.Support the development of systems and processes to ensure compliance with regulatory requirements.Participate in the preparation and submission of statutory statistical returns and reports.Present insights, model results, and recommendations clearly to senior stakeholders.Draft high-quality reports on investigation findings and pricing initiatives.Engage with authorities, institutions, and professional associations as required.Provide technical guidance and support to less experienced team members.RequirementsBackground in statistical, data science, general insurance, or actuarial roles.Proficiency in Python for data processing, modelling, and automation.2+ years of pricing experience, ideally with hands-on experience building GBMs.Strong understanding of GI pricing, GLMs, and machine learning techniques.Demonstrated ability to extract, interpret, and visualize insights from large datasets to support data-driven decision-making.Experience with SQL (desirable).Excellent communication skills, with the ability to explain complex topics to non-technical audiences.Proven track record of delivering pricing initiatives with measurable results.Independent thinker with strong problem-solving skills and the ability to work autonomously.Degree in a mathematical, actuarial, or related discipline with strong academic performance (desirable).Bonus: Experience with Emblem, Radar, Radar Live, Databricks, or similar pricing platforms.Experience developing and deploying statistical and actuarial models.Job Types: Full-time, PermanentBenefits:Employee discountSick payWork Location: Hybrid remote in Dun Laoghaire, Dún Laoghaire, CO. Dublin