Actuarial Data Scientist – Retention Modeling

Job Description:
• 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.
• Identify the right business sources related to 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.
• Works independently with guidance and direction from advanced level data scientists and management.
• Participates in discussions with colleagues regarding analysis needs.
• Reviews and discusses 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 dashboard and other programming and MS Excel.
• Create procedures to streamline analysis procedures.
• Establish automated procedures to help reduce costs and improve efficiency.
• Answer questions and conduct ad hoc analysis from businesses on related reports.
• Communicates proactively, clearly and consistently with SMEs, EBI, IT, and management in the various functional areas in order to understand each job function.
• Creates presentations breaking down problems identified and potential solutions.
• Actively participates in meetings with to present findings and recommendations.
• Team member should have 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.

Requirements:
• Worker characteristics are normally acquired through the successful completion of a 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
• Passion for problem-solving, comfort with ambiguity
• Ability to think conceptually, analytically and creatively
• Experience using R, Python and other programing languages
• Strong data skills and the ability to work with large structured and unstructured data sources
• Experience in of 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

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