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
- 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
- Experience training, fine-tuning, or evaluating neural network-based models
- 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
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