Data Scientist/Senior Data Engineer developing scalable data pipelines and machine learning models for finance transformation at Guardian. Collaborating across teams to enhance financial decision-making and operational efficiency.
Responsibilities
Build and optimize large-scale data pipelines using PySpark, SQL, and Python
Develop, deploy, and support predictive models and actuarial tools for financial reporting
Automate manual actuarial/finance processes
Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into technical designs.
Requirements
6–8 years in a data engineering, actuarial modeling, or analytics-focused technical role
2+ years of hands-on ML modeling/development experience
Strong programming skills in Python
Solid understanding of data analysis and statistical modeling
Experience with data wrangling including fuzzy matching and regular expression
Working knowledge of Pricing and actuarial processes.
Proficiency in Python, PySpark, and SQL is essential.
Bachelor’s or Master’s degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience.
Benefits
Support and flexibility to achieve professional and personal goals
Skill-building opportunities
Leadership development
Philanthropic opportunities
Opportunities to build communities and grow your career.
Job title
Data Scientist, Senior Data Engineer – Finance Transformation
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