IND Applied AI Scientist
Core
Design, operationalize, and deploy machine learning and Generative AI models to solve complex insurance problems, focusing on NLP, RAG, and compliance contexts.
Role type
Staff Applied AI Scientist
Builds
Production ML models, GenAI solutions (RAG, agents), and scoring logic integrated into enterprise insurance applications.
Domain
Insurance / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
statistical modeling, machine learning, deep learning architectures, NLP, Generative AI, embeddings, retrieval strategies, prompt engineering, RAG, document parsing, OCR, PII detection, model monitoring, A/B testing, cloud AI platforms, containerization, SQL, Python
Preferred skills
PyTorch, TensorFlow, Duck Creek, Ratabase
Technologies
Python, pandas, NumPy, scikit-learn, SQL, PyTorch, TensorFlow, Git, Google Vertex AI, AWS SageMaker, Azure AI Services, Duck Creek, Ratabase
Responsibilities
Design and operationalize model evaluation and monitoring approaches; deploy models and integrate scoring logic into production systems; communicate modeling decisions and risks to technical and non-technical audiences; align model development with compliance, privacy, and ethical standards.
Seniority
Staff, hands-on IC with strategic impact
