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.
Requirements
- Working knowledge of Python; ability to quickly learn new Python packages and programming concepts.
- 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.
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, and well-documented Python code using libraries such as pandas, numpy, pydantic, and FastAPI.
- Learn and apply modern ML tools and frameworks such as Transformers and MLflow.
- Stay curious - ask questions, seek feedback, and continuously improve your skills.
Other
- Current enrollment in a Bachelor’s in Computer Science, Engineering, Mathematics, Data Science, or a related field.
- Strong communication skills and a collaborative mindset.
- Eagerness to learn and grow - technically and professionally.
- This role is hybrid, where you will be expected to be in the office 4 days per week at our Sun Prairie, WI office
- 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.
