Note: The job is a remote job and is open to candidates in USA. The Hanover Insurance Group is a leading insurance organization that uses data to understand risk, improve customer experiences, and make informed business decisions. The Data Scientist will apply advanced analytics, machine learning, and statistical modeling to develop production-ready solutions for Personal Lines, collaborating with business leaders, actuaries, product managers, and data scientists. The role will generate actionable insights that support underwriting, pricing, customer experience, and growth strategies.
Responsibilities
- Develop and deploy predictive models, machine learning 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 understand business objectives and translate them into analytic solutions
- Design experiments, conduct exploratory analyses, and evaluate model performance to generate actionable insights
- Research and apply emerging data science methods, tools, and technologies to enhance business outcomes
- Communicate findings and recommendations through compelling visualizations, presentations, and storytelling tailored to technical and non-technical audiences
- Collaborate with data engineers and analytics partners to develop scalable, efficient, and sustainable analytical solutions
- Contribute to a culture of continuous learning, innovation, and analytical excellence
Skills
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics, or a related quantitative field
- 2-6 years of experience applying data science, machine learning, advanced 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, machine learning, 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
- Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field
- Experience building and deploying machine learning models in production environments
- Familiarity with cloud-based analytics platforms and modern data science workflows
- Insurance, financial services, or other risk-based industry experience
- Experience with data visualization and storytelling tools
Benefits
- On-the-job experiences, personalized coaching, and robust learning and development programs
- Medical, dental, vision, life, and disability insurance
- 401K with a company match
- Tuition reimbursement
- PTO
- Company paid holidays
- Flexible work arrangements
- Cultural Awareness Day in support of IDE
- On-site medical/wellness center (Worcester only)
- Hybrid arrangement or fully remote work location
Company Overview
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