Data Science and Machine Learning Engineering Intern (Summer 2026)

QBE Insurance GroupSun Prairie, WI
99d$18 - $27

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • Hybrid Working – a mix of working from home and in the office.
  • 22 weeks of paid leave for family growth, with 12 weeks available to all parents on a gender-equal basis.
  • Competitive 401(k) program with company match up to 8%.
  • Well-being program including holistic wellbeing coaching, gym membership, confidential counselling, financial and legal advice.
  • Tuition Reimbursement for professional certifications, and continuing education.
  • Employee Network and Community – QBE actively supports six Employee Networks, and many ways to give back to your community.
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