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Pacific Life is seeking to modernize its underwriting workflow using machine learning and AI, and is looking for a Senior Data Scientist to lead the development and implementation of data-driven models and algorithms to enhance the underwriting process.

Requirements

• Strong proficiency in programming languages such as Python and SQL.
• Experience using LLMs to build agentic workflows
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).
• Proven experience as a Data Scientist in the life/health insurance industry.
• Knowledge of life insurance underwriting processes and regulations is a strong plus.
• Bachelor's, Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
• 8 + years experience working in Technology with focus on Data Science initiatives

Responsibilities

• Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process.
• Use AI to process unstructured medical data and incorporate it into our models
• Automate processes using LLMs and agentic frameworks
• Analyze large and complex datasets to extract actionable insights and support decision-making.
• Stay up-to-date with industry trends and advancements in data science and machine learning.
• Mentor and guide junior data scientists and analysts.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.

Other

• Bachelor's, Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
• 8 + years experience working in Technology with focus on Data Science initiatives
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work collaboratively in a team environment.
• People come first here. We’re committed to an inclusive workforce.