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Strong employer brand, generalist data scientist title, metro hiring, and broad skills increase competition.
Casualty/pricing domain knowledge preferred but not required, so moderate industry transferability.
Mandatory Python, SQL and Power BI skills but no explicit years implies moderate filtering.
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Lead development of casualty analytics, pricing systems, and decision-support tools collaborating with Brokers in the Global Markets Direct & Facultative team.
Manage and automate data processing workflows involving complex claims, exposure, and portfolio data to improve speed and scalability in casualty analytics.
Build and maintain statistical models, analytical tools, dashboards (using Python, SQL, Power BI) supporting pricing and portfolio analysis with an aim to gain liability risk pricing ownership over time.
Master's degree in Science, Mathematics or related quantitative/technical field.
Strong proficiency in Python, SQL, and Power BI for data processing, automation, modelling, and dashboard creation.
Experience in data science, analytics, modelling, or automation-focused roles; insurance experience preferred but not mandatory.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in handling and structuring large, complex datasets into reliable analytics outputs and automating workflows in a fast-paced environment.
Capable of translating complex technical and statistical outputs into actionable business insights for brokers and stakeholders.
Interested in developing expertise in casualty liability risk pricing and improving pricing models and tools over time within a global insurance broking context.