Data Scientist II

Employer: Arbella Insurance Group

Job Site: 1100 Crown Colony Drive, Quincy, MA 02169

Job Title: Data Scientist II

Job Duties:

Responsible for designing, constructing and implementing predictive and prescriptive models across personal and commercial lines of insurance using statistical techniques, machine learning and data analysis. Duties include:

• Design, construct and implement predictive models using GLM, RF, GBM, SVM and other statistical techniques;
• Develop unsupervised machine learning models for anomaly detection, clustering, topic modeling and variable reduction;
• Leverage big data technology to extract insights from unstructured and semi-structured data including text analytics and data visualization;
• Collaborate with modeling analysts and data scientists to aggregate, transform and analyze data for predictive modeling projects;
• Work closely with subject matter experts to solve business problems and effectively communicate findings;
• Contribute to modeling best practices including model selection, validation and monitoring;
• Develop pricing plans and contribute to product design and research strategies;
• Conduct research to explore statistical techniques and application to the business; and prepare written and oral reports to communicate findings and recommendations to stakeholders;
• Keep abreast of emerging advanced modeling techniques, industry trends, and advancements in data science, predictive analytics and actuarial science; and
• Collaborate with cross-functional teams during high-level company project teams.

Minimum Requirements:

Master's degree or foreign equivalent in Statistics, Applied Statistics, Mathematics, Actuarial Science or related field and 2 years of statistics modeling experience within the Property & Casualty Insurance Industry.

Experience must include:

• 2 years pricing analysis experience within the Property & Casualty Insurance Industry;
• 2 years of risk analysis and risk management experience within the Property & Casualty Insurance Industry;
• 2 years of experience using advanced statistical techniques including GLM, RF, GBM and SVM;
• 2 years of experience using programming languages such as SAS, R, Python and SQL;
• 2 years of experience in API integration;
• 2 years of experience using database principles and working with large datasets;
• 2 years of experience using insurance data to understand data distributions and appropriate transformations.

Experience may be gained concurrently.

**Job Opportunity Qualifies For Employee Incentive Referral Program**