Data Scientist II

About The Company

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, ESG initiatives, and IDE journey.

About The Role

The Data Scientist II designs, implements, and evaluates advanced statistical models, machine learning algorithms, and tools for application in the business’s most complex issues. This role involves building econometric and statistical models for various problems, including projections, classification, clustering, pattern analysis, sampling, and simulations.

The Data Scientist II researches new ways for predicting and modeling end-user behavior and investigates data summarization and visualization techniques to convey key applied analytics findings. Additionally, this role performs ad-hoc data mining and exploratory statistics tasks on large data sets and prepares reports for senior data scientists and relevant stakeholders.

Location: Remote or On-Site

Key Responsibilities

• Research and develop statistical learning models for data analysis.
• Collaborate with product management and business units to understand company needs and devise possible solutions.
• Keep up to date with the latest technology trends.
• Communicate results and ideas to key decision-makers.
• Implement new statistical or mathematical methodologies as needed.
• Optimize joint development efforts through appropriate database use and solution design.
• Work with minimal supervision, conferring with business partners on data/reporting requests.
• Document the development and design of solutions built.
• Conduct reviews for the work of less senior team members.
• Handle multiple projects simultaneously and work on complex projects with minimal supervision.

Required Qualifications

• Minimum of 4+ years of related experience.
• Bachelor’s degree required; Master’s or Ph.D. preferred.
• Must be eligible to work in the U.S. without requiring sponsorship.
• Ability to drive larger, more complicated projects independently.
• Insurance experience preferred.

Technical Skills

• Advanced experience with R and/or Python.
• Advanced SQL, data management, and documentation skills.
• Experience with ETL tools (Azure Data Factory, SSIS, etc.).
• Strong expertise in various modeling techniques.
• Excellent pattern recognition and predictive modeling skills.
• Experience in data mining and complex statistical analysis.
• Understanding of various data structures and data transformation methods.
• Experience with deep learning, neural networks, and natural language processing.
• Model governance and metadata management expertise.
• Experience with unstructured data and document-based systems (NoSQL, Data Lakes).
• Preferred experience with Azure DataBricks and Agile data science lifecycle management (MLOps).

Career Development

At The Hanover, we support career growth through on-the-job experiences, personalized coaching, and robust learning and development programs. We encourage growth at every level.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401K with company match.
• Tuition reimbursement.
• PTO and company-paid holidays.
• Flexible work arrangements.
• Cultural Awareness Day in support of IDE.
• On-site medical/wellness center (Worcester only).

Equal Opportunity

The Hanover values diversity in the workplace and among our customers. We provide equal opportunity for employment and promotion based on experience, training, education, and ability, 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.