• Build foundational knowledge of feature sets and gain exposure to machine learning algorithms
• Gain experience and work with analytics partners to build and put models into production, quantify and analyze model performance; guide and oversee model refreshing requirements
• Make key contributions to fit-for-purpose analytics tools and infrastructure that will be used by the end user (e.g. claims handler or underwriter) and contribute to Information Technology strategy Network with other members of the department to establish mutual respect in business processes
• Participate in weekly training sessions
• Clearly communicate results of projects to technical and non-technical staff and present to entire actuarial and data science department

• High School Diploma/GED
• Enrolled in a 4 year college or university with the pursuit of Bachelor's or Master’s degree in Data Science, Actuarial Science, Mathematics, Computer Science or other quantitative fields
• Course work or relevant experience with demonstrated achievements
• Ability to work from June 3rd, 2024 to August 9th, 2024

• Programming Proficiency: Strong programming skills in: Python, R, or Julia for data manipulation and model development.
• Mathematical Proficiency: Strong mathematical foundation in calculus, probability, and linear algebra.
• Statistical Analysis: Solid understanding of statistical concepts and techniques for data analysis.
• Machine Learning: Experience with machine learning algorithms such as regression, classification, clustering, and gradient boosting.
• Data Visualization: Ability to create clear and insightful data visualizations using tools like Matplotlib, Seaborn, or ggplot2.
• Problem-Solving: Proven ability to break down complex problems and apply data science solutions.
• Critical Thinking: Strong analytical and critical thinking skills to interpret data and derive meaningful insights.
• Collaborative Attitude: Willingness to work in a team environment and contribute to collaborative projects.
• Communication Skills: Effective communication of technical findings to non-technical stakeholders.
• Adaptability: Willingness to learn and adapt to new data science techniques and tools

Interns are eligible to receive medical coverage, contribute to the 401(k) program and earn PTO

QBE North America is a global insurance leader helping customers solve unique risks, so they can stay focused on their future. Part of QBE Insurance Group Limited, QBE North America reported Gross Written Premiums in 2022 of $7.27 billion. QBE Insurance Group’s results can be found at qbe.com. Headquartered in Sydney, Australia, QBE operates out of 27 countries around the globe, with a presence in every key insurance market. The North America division, headquartered in New York, conducts business primarily through its insurance company subsidiaries.