Remote Data Scientist: Predictive Analytics & ML

United States Digital Space LLC; United States; Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

On-site medical/wellness center (Worc.

Flexible work arrangements

Job summary

The Hanover is seeking a Data Scientist for its Personal Lines Analytics team in Worcester, MA, offering hybrid or fully remote work. This full-time, exempt role focuses on applying advanced analytics, ML, and statistical modeling to drive underwriting, pricing, and customer experience decisions.

You'll collaborate with business leaders, actuaries, and data scientists to transform complex data into actionable insights, develop production-ready solutions, and contribute to a data-driven insurance

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics) or related field.
• 2–6 years of experience applying data science, ML, analytics, or statistical modeling in a business environment.
• Experience using Python and/or R for data analysis and model development.
• Strong foundation in statistical analysis, predictive modeling, ML, and data mining techniques.
• Experience working with large datasets and relational databases.
• Ability to translate business questions into analytical approaches and communicate results effectively.
• Strong problem-solving skills and intellectual curiosity.

Responsibilities

• Develop and deploy predictive models, ML solutions, and statistical analyses to solve business problems.
• Explore large datasets to identify patterns, trends, opportunities, and risks that drive business performance.
• Partner with Personal Lines leaders and cross-functional stakeholders to translate objectives into analytic solutions.
• Design experiments, conduct exploratory analyses, and evaluate model performance to generate insights.
• Research and apply emerging data science methods, tools, and technologies to enhance outcomes.
• Communicate findings through visualizations, presentations, and storytelling for technical and non-technical audiences.
• Collaborate with data engineers and analytics partners to develop scalable, efficient solutions.
• Contribute to a culture of continuous learning and analytical excellence.

Skills

Machine Learning

Data Analysis

Communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, CS, Analytics, Economics

Tools

Python

R

Job description

The Hanover is seeking a Data Scientist for its Personal Lines Analytics team in Worcester, MA, offering hybrid or fully remote work. This full-time, exempt role focuses on applying advanced analytics, ML, and statistical modeling to drive underwriting, pricing, and customer experience decisions.

You'll collaborate with business leaders, actuaries, and data scientists to transform complex data into actionable insights, develop production-ready solutions, and contribute to a data-driven insurance