About this role
Retail Actuarial Data Engineer at Talcott. Location: Charlotte or Hartford. Role: managing data, ensuring quality, governing data Requirements: Bachelor's in a quantitative field, minimum 3 years actuarial/data engineering/data science experience in insurance, strong SQL, ETL knowledge, experience with Python/PySpark and Power BI preferred, experience using AI tools, strong problem-solving and communication. Category: Data and Analytics Seniority: Mid Level Tools: SQL, Python, PySpark, Power BI, ETL, AI tools and models Commitment: Full Time Workplace: Hybrid Languages: English