Data Science Intern (Summer 2025)

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.

#LI-DNI

• 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., Poisson, Tweedie, GLM, GBM, 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.

• Must be currently pursuing an advanced degree in Actuarial Science, Computer Science, Data Science, Mathematics, Statistics, or related discipline.
• Must have some proficiency in programming languages such as Python, R, or SQL, with a basic understanding of statistical methods.
• Strong problem-solving orientation preferred.
• Exposure to complex data sets preferred.
• For field roles, only: Valid driver's license and a driving record that conforms to company standards.

Location

Hybrid defined as three (3) or more days per week in the office

Behavioral Competencies

• Collaborates
• Communicates Effectively
• Customer Focus
• Decision Quality
• Nimble Learning