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
Our mission is to harness the power of Data Analytics and Generative AI to create a competitive advantage for our business. By generating actionable insights, we aim to enhance data-driven decision-making and improve business outcomes.
We're looking for a Senior Analytics & AI Engineer to join our team and help us to build the bridge between business and engineering. If you enjoy a combination of business interaction, hands-on technical work, and product management in a global environment, this might be the perfect role for you! You'll get to participate in a variety of interesting initiatives, playing a crucial role in translating business needs and strategies into actionable insights, developing analytics and AI products, leveraging the latest technologies such as Generative AI.
Responsibilities
Drive and shape data & AI products from business value concepts to production, leveraging our strategic platforms like Palantir.
Collaborate with cross-functional teams and stakeholders to understand and translate business requirements into technical specifications and actionable plans, ensuring successful delivery.
Design and develop user-centric data & AI applications (in Python/PySpark), that align with business and technological requirements, emphasizing user experience & data storytelling.
Stay up to date with the latest technologies and best practices to drive sustainable and efficient data products.
Requirements
Experience in building data-driven applications with a user-focused mindset and storytelling with data
Experience in designing, implementing and maintaining robust data pipelines
Proficiency in modern coding languages, such as Python
Good communication in English, with the ability to explain technical concepts in a clear way for non-technical audiences
Nice to Have Skills
Knowledge of Azure, Microsoft Power BI and Typescript
Project management abilities within agile frameworks
Experience with Machine Learning and familiarity with LLMs