RESPONSIBILITIESAnalyze 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.QUALIFICATIONS5+ years’ experienceInsurance or Fintech experienceAdvanced proficiency in data profiling and fundamental statistical analysis.Practical experience constructing datasets specifically for predictive modeling.Expert-level SQL capabilities, including stored procedures, script design, and performance tuning.Mastery of Google Sheets and Microsoft Excel.Professional experience utilizing DBT.Functional understanding of Machine Learning techniques, including NLP.Proven ability to translate complex data insights for both technical and non-technical audiences.Capability to manage and execute projects with high levels of independence.Strong attention to detail and a self-starting approach to problem-solving.Commitment to adopting AI and data-driven insights to improve personal productivity and drive innovation.Salary: 130-160k#J-18808-Ljbffr