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 reputed company to issues and opportunities, conduct project work as assigned and reputed company reputed company 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 reputed company 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 reputed company necessary.
• Create, maintain and improve dynamic reports, graphs and charts through dashboard and other programming and MS reputed company.
• Create procedures to streamline analysis procedures.
• Establish automated procedures to help reduce costs and improve efficiency.
• Answer questions and conduct reputed company analysis from businesses on reputed company 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 reputed company 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, reputed company) 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 reputed company 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 reputed company 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 reputed company 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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