Data Scientist – Insurance Retention Modeling

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $101.2k - $204.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

🚘 Automotive

💼 Consulting

📦 Logistics

Automotive • Consulting • Logistics

Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.

📋 Description

• Support analytical projects that identify business opportunities, answer business questions, and develop business solutions • Understand business needs and create research and implementation plans using data, statistical models, and machine learning techniques • Work with UW, Claims, Marketing, and Advertising departments to understand business processes and needs • Identify relevant business data sources, conduct assigned project work, and perform ad-hoc analyses using statistical and machine learning algorithms • Work independently with guidance from advanced-level data scientists and management • Participate in discussions regarding analysis needs and review analyses with colleagues and managers • Provide data support on projects and work closely with the business on implementation through analytical or IT processes • Create monitoring procedures and reports for implemented projects and identify opportunities to improve accuracy and efficiency • Retrieve large amounts of structured and unstructured data from various sources and apply advanced data manipulation techniques for analysis • Review data accuracy and optimize data retrieval methods • Create, maintain, and improve dynamic reports, graphs, charts, dashboards, and programming in MS Excel • Create procedures to streamline analysis and establish automated procedures to reduce cost and improve efficiency • Answer business questions and conduct ad-hoc analysis related to reports • Communicate with SMEs, EBI, IT, and management to understand functional processes and KPIs • Create presentations explaining identified problems and potential solutions • Present findings and recommendations in meetings • Perform other assigned functions

🎯 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 • Demonstrate Company’s Core Values • Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week

🏖️ 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