Actuarial Science and Data Science Intern (Winter 2027)
Core
Develop analytical tools and models to address business challenges in group insurance and group savings.
Role type
Actuarial Science and Data Science Intern
Builds
Analytical tools, dashboards, and predictive models for risk modeling and trend forecasting.
Domain
Insurance and Financial Services
Deliverable
production ML models | dashboards & analysis
Required skills
Data analysis, predictive modeling, statistical methods, machine learning algorithms, large dataset processing, Python programming
Preferred skills
Actuarial Science background, Data Science background, strong analytical problem-solving, curiosity, learning agility
Technologies
Python
Responsibilities
Analyze and interpret data to address key business challenges such as customer segmentation and claims trends; Contribute to the development of dashboards and user-friendly tools to support strategic decision-making; Deliver analyses aligned with the department's business objectives and present findings to management; Contribute to the development and implementation of predictive models for risk modeling, trend forecasting, and customer behavior analysis; Work with machine learning algorithms and statistical methods to extract meaningful insights from data; Explore and process large datasets to identify opportunities for improvement and innovation; Collaborate closely with mentors, subject matter experts, and other team members to gain an understanding of group insurance challenges and analytical processes; Learn about the deployment and productionization of analytical models with the support of internal teams.
Seniority
Intern