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The role focuses on utilizing data analytics to inform strategy and growth for Shepherd, involving performance measurement and stakeholder reporting.

The Actuarial Data Analyst will support pricing, compliance, competitive analysis, and data analytics for multiple commercial insurance lines, ensuring competitive advantage and compliance across jurisdictions.

Design, build, and maintain pricing services and data models for actuarial functions, focusing on Python-based rating engines and integration with insurance product configurations.

Lead the People Operations function at Shepherd, focusing on performance management, compensation, job leveling, onboarding, and day-to-day HR operations as the company grows.

Design, build, and deploy LLM-powered features and production AI infrastructure (model serving, inference, evaluation, monitoring) that improve underwriting, pricing, and internal tooling. Partner with product, engineering, underwriting, and data teams to deliver end-to-end AI solutions and establish prompt engineering and evaluation best practices.

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

Build relationships with broker partners, drive growth by aligning products with brokerage goals, and manage sales activities and post-sale engagement.

The Customer Experience Associate is responsible for managing client relationships, enhancing customer journeys, leading onboarding processes, and proposing process improvements. They will work closely with broker partners to ensure customer success and optimize internal operations.

The Software Engineer will lead major initiatives, own product experiences, mentor engineers, and contribute to strategy and architecture while using technologies like TypeScript and Node.js.

The role involves developing AI strategies, innovating across platforms, mentoring engineers, and participating in product and architectural decision-making.