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Actuarial Data Scientist – Retention Modeling
Location
United States
Posted
70 days ago
Salary
$101.2K - $204.4K / year
Seniority
Mid Level
Job Description
Actuarial Data Scientist – Retention Modeling
Mercury Insurance
• Support analytical projects on identifying business opportunities and developing business solutions • Understand business needs and create research and implementation plans using data, statistical models and machine learning techniques • Work closely with cross-functional teams of software engineers, data analysts and product leaders • Identify the right business sources and conduct project work on assigned projects • Perform ad-hoc analyses using statistical and machine learning algorithms to improve business processes • Create monitoring procedures and reports for projects implemented • Retrieve large amounts of structured or unstructured data using advanced data manipulation techniques • Create and improve dynamic reports, graphs, and charts • Establish automated procedures to help reduce cost and improve efficiency • Communicate proactively and clearly with SMEs, EBI, IT, and Management
Job Requirements
- Bachelor’s degree in math, statistics, computer science or other related areas
- Master’s Degree (or ACAS/FCAS) preferred
- At least 2 years of experience in data mining and data/statistical analysis
- At least 2 years experience with SQL and statistical software packages (Python, R, SAS) required
- At least 1 year experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques
- At least 1 year of experience in insurance or financial service related fields
- Demonstrated solid skills in data mining, machine learning, programming and optimization
- Knowledge with cloud-based advanced data and analytics environment
- Experience using R, Python and other programming languages
- Strong data skills and the ability to work with large structured and unstructured data sources
- Experience in predictive modeling, general model building, and validation procedures
- Excellent problem-solving skills required
- Excellent analytical and critical thinking required
- Excellent written and verbal communication skills required.
Benefits
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
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