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 Apply Now Apply Now