Data Scientist

Norfolk & Dedham Insurance•Montpelier, VT

5d•$90,000 - $130,000

About The Position

This role involves coordinating with management to understand and devise solutions for predictive analytics, creating and deploying machine learning models for business objectives, and maintaining these models internally and in the cloud. The Data Scientist will regularly evaluate models, stay updated on industry trends, and provide analytical support to all departments. Responsibilities also include preparing regulatory reports, exploring AI-driven solutions, automating data-driven processes, analyzing financial information for performance forecasting, performing complex analyses, establishing databases, and coordinating with management on financial plans and forecasts. The role also entails analyzing peers and assisting with special projects.

Requirements

Well-developed business acumen.
Ability to multi-task and handle numerous assignments simultaneously.
A process thinker seeking productivity and exceptional service.
Excellent verbal, telephone, and written communication skills.
Ability to work well in a team environment.
A professional, positive and enthusiastic attitude.
Advanced computer skills.
Excellent listening and feedback skills.
Good problem solving skills.
Effective training skills.

Nice To Haves

Bachelor’s degree or equivalent education and experience in a relevant field.
Familiarity with container-based services, such as AWS App Runner, S3, ECS, etc.
Strong skills in Python & SQL.

Responsibilities

Coordinate with all levels of management to understand and devise possible solutions for predictive analytics.
Create and deploy machine learning models for business objectives in department workflows.
Maintain models both internally and cloud based.
Regularly evaluate models using theoretical methods.
Keep up to date with latest industry trends and techniques.
Provide support for all departments with analytical and predictive needs.
Prepare needed regulatory reports needed based on Machine Learning Models.
Explore and implement AI-Driven solutions to business problems.
Streamline data-driven processes using automation.
Analyze financial information to determine present and future financial performance.
Perform complex analysis in an evolving data environment.
Establish databases of pertinent information for use in analyzing plans and forecasts.
Coordinate with all levels of management to gather, analyze, summarize, and prepare recommendations regarding financial plans, acquisition activity, new business planning, trended future requirements, government requirements, and operating forecasts.
Analyze peers.
Assist with special projects.