Underwriting Research & Development (Data Analytics) Intern - Summer 2025
Research / Development
Full Time
Underwriting Research & Development (Data Analytics) Intern
Please note that we do not offer visa sponsorship for this position.
ROLE SUMMARY:
This role supports underwriting Research and Development by delivering data-driven insights and improving frameworks for evaluating underwriting evidence. Essential tasks include analyzing automated underwriting data, assisting in predictive modeling, enhancing data visualizations, providing ad hoc reports, and fostering a culture of data and analytics across the organization.
RESPONSIBILITIES:
- Assist Underwriting Research and Development initiatives by providing actionable, data-driven insights to decision-makers
- Help improve the technical framework for a systematic retro-study tool to assess the protective value of new pieces of underwriting evidence
- Analyze data from our automated underwriting engine to help inform rule changes, prevent fraud, and improve straight-through processing rate
- Assist with various predictive modeling projects such as risk classification, clean-sheeting detection, early claim forecasting, and smoker non-disclosure
- Enhance existing data visualizations by partnering with consumers to understand opportunities for improvement and enhancement
- Provide ad hoc reporting and analysis to various leaders within operations
- Support the development of our analytics community through collaboration with other analysts and education of our customers at all levels of the organization on metrics, dashboards, and tools.
- Partner with both the Business and IT to support and drive towards a culture of data and analytics to inform on
QUALIFICATIONS:
- Studying in a quantitative field such as Data Science, Economics, Mathematics, Actuarial Science, Finance, or Statistics
- Analytical aptitude is essential; mathematical and statistical knowledge/experience is helpful
- Possess a customer service attitude and demonstrate effective communication at all levels of the organization
- Experience with Tableau, Python, or R, preferred
- Strong attention to detail and the ability to reconcile reporting by explaining relevant variables and their respective impact on the reporting
- Thirst for learning new things quickly, enjoys challenges, and is a demonstrated self-starter
- Naturally inquisitive and willing to independently seek out knowledge, ask relevant questions, and formulate and articulate opinions
HOW YOU SHOW UP:
- Self-starter
- Positive attitude
- Detail oriented
- Strong communication and organizational skills
- Ability to multitask and meet changing deadlines
PROGRAM HIGHLIGHTS:
- 10-week paid internship (June 3-Aug 8) with formal orientation and onboarding
- Networking opportunities with peers and leaders throughout the summer
- Cross-departmental group project focused on an enterprise-wide solution presented at a company-wide event
- Presentation skills coaching sessions
- Learning opportunities throughout the program
- Access to mentors (former program participants)