Jobs at Shepherd

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.

The Brand & Experiences Lead at Shepherd is responsible for managing events, brand presence, content, and social strategy, ensuring a distinct and engaging representation of the company in the commercial insurance sector.

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.

As a GTM Engineer at Shepherd, you'll develop and manage the marketing growth engine focused on broker engagement through paid media, automation, and optimization strategies.

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

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.

Seeking a talented backend software engineer to lead projects, collaborate across teams, and mentor junior engineers. Experience with Javascript and Typescript required.

As an Actuarial Data Scientist, you will develop and deploy commercial auto pricing models, collaborate with actuaries and underwriters, design feature pipelines, and communicate findings effectively. This role requires strong statistical skills and experience with predictive modeling in insurance.