Remote Machine Learning Engineer Jobs in Grafton, MA

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.
Our Personal Lines team is currently seeking a Data Scientist in our Worcester, MA office on a hybrid arrangement or fully remote work location. This is a full-time, exempt role.
Join a Team Where Data Drives Strategy:
At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative Data Scientist to join our Personal Lines Analytics team.
In this role, you'll apply advanced analytics, machine learning, and statistical modeling techniques to solve meaningful business challenges across our Personal Lines organization. You'll work alongside business leaders, product managers, actuaries, and data scientists to transform complex data into actionable insights that influence underwriting, pricing, customer experience, and growth strategies.
This is an opportunity to work with large and complex datasets, develop production-ready analytical solutions, and help shape the future of a data-driven insurance organization.
Why Join The Hanover?

• Work on high-impact analytics projects that directly influence business strategy and outcomes.
• Partner with experienced data scientists, actuaries, and business leaders across the organization.
• Access large-scale datasets and real-world business challenges that offer meaningful analytical opportunities.
• Grow your technical and business skills while developing expertise in predictive analytics and machine learning.
• Be part of a collaborative team that values innovation, continuous learning, and knowledge sharing.
• Help modernize how a leading insurance organization uses data to serve customers and manage risk.

IN THIS ROLE, YOU WILL:

• 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.

WHAT YOU NEED TO APPLY:
Required Qualifications

• 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.

Preferred Qualifications

• 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.

This job posting provides cursory examples of some of the job duties associated with this position. The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform.
CAREER DEVELOPMENT:
It's not just a job, it's a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you - at every level - to grow and develop.
BENEFITS:
We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you'll enjoy what you do and have the support you need to succeed.
Benefits include:

• 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)
• Click here for the full list of Benefits

EEO statement:
The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.
Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law."
As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at:HRServices@hanover.com and include the link of the job posting in which you are interested.
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Compensation:
The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus (which could take the form of a general bonus, sales incentive, or short-term incentive), long-term incentive or spot recognition awards. The posted range reflects our ability to hire at different position titles and levels depending on background and experience.