Overview

The ideal Senior Data Scientist candidate for this role will have insurance industry experience with Natural Language Processing (NLP) and experience designing and developing agentic workflows and AI-driven systems, especially applied to data extraction problems. They will be skilled in transfer learning and possess an understanding of and capability in Deep Learning (DL). They can design and implement autonomous or semi-autonomous agent-based solutions, orchestrating multi-step reasoning, tool usage, and decision-making workflows. They can perform work in each of those areas by leveraging a cloud environment like Databricks on Azure with Python in a notebook and IDE environment with version control leveraging git. They can navigate API-based generative AI models like those from OpenAI and similar providers to develop agentic, workflow-driven solutions. They can perform these tasks collaboratively, transparently, and seek to improve the skill of the team overall...