Data Scientist, Senior Data Engineer – Finance Transformation
Guardian Life
full-time
Posted on:
Location Type: Hybrid
Location: Holmdel • New Jersey, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $99,150 - $162,885 per year
Job Level
Senior
Tech Stack
PySparkPythonSQL
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PySparkSQLPythonmachine learning modelingdata analysisstatistical modelingdata wranglingfuzzy matchingregular expressionpredictive modeling
Soft skills
collaborationcommunicationproblem-solvingtechnical design
Certifications
Bachelor’s degreeMaster’s degree