Data Science Intern (Summer 2026)

Job Summary

The Data Science Intern, working under direct supervision, works on predictive models related to real-world insurance problems, leverages data to drive insights, supports decision-making, and contributes to the development of innovative solutions. As a Data Science Intern, you will collaborate with experienced professionals on meaningful projects, hone your technical acumen, refine programming skills, and communication abilities in a supportive and collaborative environment. Throughout the summer, the internship also provides broad exposure and interaction with professionals across the organization giving you a comprehensive view of the company and the property and casualty insurance industry.

Job Responsibilities

• Work closely with data scientists, underwriters, actuaries, or other team members to develop and deliver data-driven insights that enable stakeholders to accomplish business goals.
• Seek feedback from supervisors or mentors to actively seek opportunities for improvement and apply learning to enhance performance throughout the internship.
• Complete a Data Science project or projects which will be assigned closer to the start of the internship, some typical project scopes include:
  • Collecting, cleaning, and analyzing large datasets to identify trends, patterns, or correlations relevant to the business
  • Employing exploratory data analysis
  • Investigating feature generation
  • Supporting the development or implementation of predictive models to forecast insurance risks, customer behaviors, or business outcomes, which may involve various model forms and approaches (e.g., GLM, Machine Learning, Deep Learning, etc.)
  • Creating clear, concise, and visually appealing reports, dashboards, or presentations that communicate findings and insights to stakeholders or data science leaders
• Create thorough documentation of data processes, models, and analyses to ensure transparency and reproducibility.
• Participate in department specific opportunities to build connections, receive mentorship, and apply technical acumen in Data Science through on-the-job learning opportunities that enhance knowledge and skills.
• Engage in enterprise-wide internship program events and activities designed to enhance professional skills, career readiness, and personal awareness and reflection.
• Exhibit professionalism through punctuality, reliability, and a positive attitude, while demonstrating a strong work ethic in fulfilling assigned responsibilities.
  

Job Qualifications

• Actively enrolled in a Masters degree program, PhD Preferred, in Data Science, Actuarial Science, Computer Science, Mathematics, Statistics, or a related discipline, with a solid understanding of statistical methods.
• Must have some proficiency in programming languages such as Python, R, or SQL.
• Strong problem-solving orientation preferred.
  

Location

Hybrid defined as three (3) or more days per week in the office. Housing may be available.

Behavioral Competencies

• Collaborates
• Communicates effectively
• Nimble learning
• Embraces accountability
  

Technical Skills

• Data Analysis and Reporting
• Information Systems
• Continuous Learning
• Data Entry
• Time Management
• Business Analysis
• Problem Solving
  

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.