Senior Data Scientist III

LexisNexis Risk Solutions seeks a Senior Data Scientist III to drive complex healthcare analytics initiatives and deliver advanced statistical, machine learning, and AI solutions. The role requires deep healthcare domain knowledge and strong analytical rigor to translate complex healthcare and insurance data into scalable, production-ready models and insights.

Requirements

• Proven Data Science experience
• Advanced academic experience—such as a Master’s degree or Doctoral degree in a related discipline—may substitute for part of the required experience
• Solid experience in statistical modeling, machine learning, and advanced analytics, including experience deploying models into production environments
• Demonstrated experience working with healthcare and/or insurance data, with a strong understanding of medical claims and healthcare coding systems
• Proficiency in Python and common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch)
• Experience applying NLP techniques and familiarity with generative AI concepts (e.g., LLMs, prompt engineering, retrieval-augmented generation) in applied analytics settings
• Experience working with large, complex datasets across on-premise and cloud-based data platforms
• Ability to operate independently on ambiguous problems, exercising sound technical judgment and accountability for outcomes
• Effective communicator and collaborator, skilled at partnering and influencing across product, engineering, and business teams

Benefits

• Medical Inpatient and Outpatient Insurance
• Life Assurance Policies
• Modern Family Benefits
• Long Service Award
• Celebratory Allowance/Gifts
• Flexible Benefits Plan
• Employee Assistance Program
• Flexible Working Arrangements
• Access to Learning and Development Resources