RESPONSIBILITIES

• Analyze multiple simultaneous data projects to prepare and validate datasets for predictive modeling and machine learning.
• Perform deep-dive data interrogation, exploratory analysis, and reconciliation to ensure high-quality profiling.
• Collaborate with product managers and actuarial teams to create, revise, and harmonize data across diverse customer sets.
• Build and test model features while managing comprehensive reporting.
• Investigate internal data logic by researching how information is generated and updated.
• Engineer scalable and documented data assets with a focus on simplicity and reusability.
• Contribute to innovative tool development and external research within a culture dedicated to curiosity and the responsible application of AI to drive measurable outcomes.

QUALIFICATIONS

• 5+ years’ experience
• Insurance or Fintech experience
• Adv...