Data Scientist - Modeling(Retention, Churn, CLV)

About the Company

Join an amazing team that is consistently recognized for achievements and culture, including a recent Forbes award as one of America's Best Midsize Employers for 2026. At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member and believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

Position Summary

This individual contributor position is responsible for supporting analytical projects on identifying business opportunities, answering business questions, and developing business solutions. The team member will need to be able to understand business needs and create research and implementation plans using data, statistical models, and machine learning techniques. The team member needs to have strong data and programming skills and be able to work closely with cross-functional teams of software engineers, data analysts, and product leaders on business initiatives.

Responsibilities

• Work with various business departments including UW, Claims, Marketing, and Advertising with understanding of business processes and business needs in these areas
• Identify the right business sources related to the issues and opportunities, conduct project work as assigned, and perform ad-hoc analyses using statistical and machine learning algorithms to help improve business processes and decision-making
• Work independently with guidance and direction from advanced level data scientists and management
• Participate in discussions with colleagues regarding analysis needs and review/discuss analyses with colleagues and managers as necessary
• Provide data support on projects and work closely with business on implementation through either analytical process or IT process
• Create monitoring procedures and reports for projects implemented, and identify potential opportunities to improve accuracy and efficiency
• Understand data sources from different applications and data infrastructure; retrieve large amounts of structured or unstructured data from various sources and apply advanced data manipulation techniques to prepare data for analysis
• Review data for accuracy and optimize methods of data retrieval when necessary
• Create, maintain, and improve dynamic reports, graphs, and charts through dashboards and other programming and MS Excel
• Create procedures to streamline analysis procedures; establish automated procedures to help reduce cost and improve efficiency
• Answer questions and conduct ad hoc analysis from business on related reports
• Communicate proactively, clearly, and consistently with SMEs, EBI, IT, and Management in various functional areas to understand each job function; increase breadth of understanding of processes associated with these functions and the various KPIs that drive business results in each area and overall
• Create presentations breaking down problems identified and potential solutions
• Actively participate in meetings to present findings and recommendations
• Maintain a strong background in creating and explaining meaningful graphs and be skilled at assembling and presenting PowerPoint presentations
• Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week
• Other functions may be assigned

Education

Minimum: Bachelor's degree in math, statistics, computer science, or other related areas. Preferred: Master's Degree (or ACAS/FCAS).

Experience

• 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

Knowledge and Skills

• Demonstrated solid skills in data mining, machine learning, programming, and optimization
• Knowledge with cloud-based advanced data and analytics environment
• Passion for problem-solving, comfort with ambiguity
• Ability to think conceptually, analytically, and creatively
• 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

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