Senior Data Scientist II

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact? LexisNexis Risk Solutions is seeking a Senior Data Scientist II to develop and implement analytics and AI solutions that support business and product objectives across the insurance lifecycle.

Requirements

• Proven Data Science experience
• Advanced academic experience
• Solid experience in applying machine learning and statistical techniques to real-world problems
• Hands-on experience developing, evaluating, and iterating on predictive and machine learning models
• Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques
• Experience working with structured and unstructured data at scale
• Proficiency in Python and/or R using common data science and machine learning libraries
• Experience working with SQL and relational or cloud-based data platforms
• Hands-on experience developing and running data science and AI workloads in cloud environments
• Exposure to modern AI frameworks and tools
• Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions
• Experience in applying software engineering best practices to data science codebases
• Ability to independently execute complex analytical work within defined scope
• Clear and effective communicator

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