Lead Applied Scientist
Core
Senior scientific authority leading the design, development, and evaluation of AI/ML solutions, specifically focusing on large language models and agentic AI systems for business problems.
Role type
Senior IC applied scientist (LLM & Agentic AI)
Builds
Production AI/ML models, agentic workflows, and data analytics solutions for insurance and reinsurance.
Domain
Insurance / Reinsurance / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Large language models (LLMs), agentic AI systems, Python, statistical rigor, machine learning, model validation, responsible AI, Databricks, MLflow, Spark
Preferred skills
Agent frameworks and orchestration tools, insurance/reinsurance industry experience, postgraduate qualification in quantitative/computational field
Technologies
Python, pandas, NumPy, scikit-learn, Databricks, MLflow, Spark
Responsibilities
Lead design and development of AI/ML solutions including LLMs and agentic workflows; frame business problems and select appropriate approaches; own evaluation and accuracy methodology including drift detection; lead responsible AI work including bias testing and explainability; solve challenging problems like unstructured document extraction and forecasting; write production quality code for novel/high-risk work; set technical standards and mentor the team.
Seniority
Senior, hands-on IC with strategic impact
