About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
We are looking for an Analytics and AI Product Owner to join our team and help us to build the bridge between business and engineering. In this role, you will combine hands-on data and AI engineering, business interaction, and product ownership to build scalable analytics & AI products that create measurable business impact.
You’ll be part of our Property & Casualty Single Risk Product & Delivery team, whose mission is to harness data, analytics and AI to create a competitive advantage for our single risk business. You'll get to participate in a variety of interesting initiatives, playing a crucial role in translating business needs and strategies into actionable insights, owning and developing analytics and AI products, leveraging the latest technologies such as Generative AI.
This role is suitable for candidates of all genders.
Responsibilities
Own and drive AI product development from initial concept through to production deployment and continuous improvement
Collaborate with cross-functional teams and stakeholders to translate business requirements into technical specifications and actionable plans
Design and develop user-centric AI applications using Python/PySpark, emphasizing exceptional user experience and compelling data storytelling
Drive and shape data & AI products from business value concepts to production.
Stay up to date with the latest GenAI technologies and best practices to drive sustainable and efficient data products.
Requirements
Experience building and deploying analytics and/or AI solutions in production environments
Experience in designing, implementing and maintaining robust data pipelines
Strong proficiency in Python and experience with data processing frameworks like PySpark
Demonstrated ability to build data-driven applications with a user-focused mindset and storytelling with data
Good fluent communication in English
Nice to Have Skills
Knowledge of Palantir Foundry and Typescript
Project management abilities within agile frameworks
Experience with Large Language Models (LLMs) applications