ML Engineer Intern — Hybrid, Summer 2027

QBE North America; Madison (WI); Hybrid; USD 38,000 - 41,000; Part time

Job summary

QBE North America invites a Summer 2027 Data Science internship in its Madison office. You’ll work on ML/AI projects impacting underwriting and operations, applying Python-based tools to real business problems in a fast-paced environment.

You’ll learn from experienced peers, contribute to deployment pipelines, and grow your data science and software engineering skills through hands-on projects and collaboration with cross-functional teams.

Qualifications

• Enrolled in a bachelor’s program in CS/Engineering/Math/Data Science or related field.

Responsibilities

• Use data to uncover insights that improve underwriting and operations.
• Build and evaluate models, explore new features, and collaborate with teams to deliver measurable impact.
• Contribute to the development and maintenance of deployment pipelines, ensuring models are robust, reproducible, and scalable.
• Write clean, efficient Python code using libraries such as pandas, numpy, pydantic, and FastAPI.
• Learn and apply modern ML tools and frameworks such as MLflow and agentic programming.
• Stay curious and continuously improve technical and professional skills.

Skills

Python

Data analysis

Communication

Collaboration

ML concepts

Education

Bachelor’s degree in CS/Engineering/Math/Data Science or related field

Tools

Python

pandas

numpy

scikit-learn

Docker

Azure

FastAPI

MLflow

Job description

QBE North America invites a Summer 2027 Data Science internship in its Madison office. You’ll work on ML/AI projects impacting underwriting and operations, applying Python-based tools to real business problems in a fast-paced environment.

You’ll learn from experienced peers, contribute to deployment pipelines, and grow your data science and software engineering skills through hands-on projects and collaboration with cross-functional teams.