Machine Learning Engineering Intern

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

Primary Details

Time Type: Full timeWorker Type: EmployeeThe Opportunity: QBE has a Summer 2027 internship opportunity in its North America Data Science organization based in its Madison office. At QBE, we believe machine learning and AI can transform the insurance industry - making it smarter, faster, and more human. Our Data Science and Machine Learning Engineering team builds real-world solutions that support Pricing, Underwriting and Claims, driving innovation and impact across the business. We value curiosity, clarity, craftsmanship, and collaboration - and we’re looking for team members who share these values.

As an intern, you’ll contribute to building and deploying ML and AI systems that solve practical business problems. This role is ideal for someone eager to apply technical skills, learn from experienced peers, and grow in a fast-paced, supportive environment. The internship will run from June 1st to August 6th.

Location: Madison, Wisconsin

Work Arrangement: This role is hybrid, where you will be expected to be in the office 4 days per week at our Madison, WI office

The pay rate: $27.50 - $29.50

Your new role

• 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, and well-documented 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 - ask questions, seek feedback, and continuously improve your skills.

Required Qualifications

• Current enrollment in a Bachelor’s in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• Working knowledge of Python; ability to quickly learn new Python packages and programming concepts.

Preferred Competencies/Skills

• Proficiency in Python and familiarity with core data science libraries (e.g., pandas, numpy, scikit-learn).
• Exposure to cloud platforms (especially Azure) and containerization tools like Docker.
• Understanding of MLOps concepts such as Git, CI/CD, and model lifecycle management.
• Familiarity with model validation and monitoring practices.
• Strong communication skills and a collaborative mindset.
• Eagerness to learn and grow - technically and professionally.

Why QBE? What if you could have a positive impact – at work and in the world?

At QBE, we’re enabling a more resilient future – for our customers, communities, environment, and for our people. We’re building momentum to achieve something significant and know our people are at the center of our success.

Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. And our international scale means we’re big enough for your ambitions, yet small enough for you to make a real impact.

Join us now, so you can be part of our success – and we can be part of yours!

https://www.linkedin.com/company/qbe-north-america/

QBE is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with QBE, please inform our Talent Acquisition team to let us know the nature of your accommodation request and your contact information.

Equal Employment Opportunity:

QBE provides equal employment opportunities to applicants and employees without regard to race; color; gender; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; protected veteran status; or disability or any other legally protected status.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship.

Supplementary information

Skills:

Collaboration Tools, Communication, Critical Thinking, Data Entry, Document Management, Email Management, Financial Products, Hands-On Learning, Intentional collaboration, Managing performance, Microsoft Applications, Report Writing, Research Analysis, Self Motivation, Time Management

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.