About this role

Lead the design and implementation of agentic AI solutions and LLM-powered applications that automate business processes
Drive the end-to-end model lifecycle: data exploration and preparation, model finetuning, validation, deployment, and monitoring
Apply LLMs and generative AI to process and interpret unstructured data
Develop autonomous agents, multi-step reasoning systems, and advanced NLP pipelines
Translate research in agentic AI, LLMs, and reinforcement learning into production-ready solutions
Collaborate with data engineers, MLOps/AIOps, and product teams

PhD with 2+ years or Master’s with 4+ years of experience in Computer Science, Engineering, Statistics, Applied Mathematics, or related field
Experience in Insurance Underwriting
3+ years of hands-on experience in AI/ML modeling and development, focusing on agentic AI, LLMs, and NLP
Deep expertise in LLMs, generative AI, agentic systems, NLP, and multi-step reasoning architectures
Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain
Excellent analytical, problem-solving, and communication skills

Senior Data Scientist, Agentic AI

Key skills