Milliman
Overview
Data Scientist, Chicago, IL: Conduct research into fundamental computer and information science as a theorist and designer. Develop solutions to problems in the field of computer hardware and software. Develop and deploy predictive machine learning models to estimate the severity of insurance claims early in the claim life cycle using Python, PySpark, and Azure. Improve information retrieval systems using NER, Generative AI (Flan-T5, Gemini, ChatGPT) and transformer-based models (BERT). Research and optimize Retrieval-Augmented Generation (RAG) powered LLM. Systems using vector databases (FAISS), quantization, and fine-tuning (LoRa) to improve feature extraction from unstructured data. Responsibilities
Develop and deploy predictive machine learning models to estimate claim severity early in the life cycle using Python, PySpark, and Azure. Improve information retrieval systems using named entity recognition (NER), Generative AI, and transformer-based models (BERT). Research and optimize Retrieval-Augmented Generation (RAG) powered large language models. Work with vector databases (FAISS), quantization, and fine-tuning (LoRa) to enhance feature extraction from unstructured data. Qualifications
Master\'s Degree in Statistics, Mathematics, or equivalent. Permanent US work authorization. Experience with Python, PySpark, Azure, NER, Generative AI tools, transformer models (e.g., BERT), RAG, FAISS, quantization, and LoRa fine-tuning is preferred. Compensation and Contact
Salary range: $129,709-$138,820/Year. Contact: Milliman, Inc., 71 S. Wacker Dr., 31st Fl., Chicago, IL 60606, or ChicagoHR@milliman.com. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Data Scientist, Chicago, IL: Conduct research into fundamental computer and information science as a theorist and designer. Develop solutions to problems in the field of computer hardware and software. Develop and deploy predictive machine learning models to estimate the severity of insurance claims early in the claim life cycle using Python, PySpark, and Azure. Improve information retrieval systems using NER, Generative AI (Flan-T5, Gemini, ChatGPT) and transformer-based models (BERT). Research and optimize Retrieval-Augmented Generation (RAG) powered LLM. Systems using vector databases (FAISS), quantization, and fine-tuning (LoRa) to improve feature extraction from unstructured data. Responsibilities
Develop and deploy predictive machine learning models to estimate claim severity early in the life cycle using Python, PySpark, and Azure. Improve information retrieval systems using named entity recognition (NER), Generative AI, and transformer-based models (BERT). Research and optimize Retrieval-Augmented Generation (RAG) powered large language models. Work with vector databases (FAISS), quantization, and fine-tuning (LoRa) to enhance feature extraction from unstructured data. Qualifications
Master\'s Degree in Statistics, Mathematics, or equivalent. Permanent US work authorization. Experience with Python, PySpark, Azure, NER, Generative AI tools, transformer models (e.g., BERT), RAG, FAISS, quantization, and LoRa fine-tuning is preferred. Compensation and Contact
Salary range: $129,709-$138,820/Year. Contact: Milliman, Inc., 71 S. Wacker Dr., 31st Fl., Chicago, IL 60606, or ChicagoHR@milliman.com. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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