Data Science and Machine Learning Engineering Intern (Summer 2026)

QBE

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profile Job Location:

Sun Prairie, MT - USA

profile Monthly Salary: $ 18 - 27
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Primary Details

Time Type: Full time

Worker Type: Employee

Title: Data Science and Machine Learning Engineering Intern (Summer 2026)

The Opportunity: 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 were looking for team members who share these values.

As an intern youll 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.

  • Location: Sun Prairie Wisconsin
  • Work Arrangement: This role is hybrid where you will be expected to be in the office 4 days per week at our Sun Prairie WI office
  • The salary range for this role is between $18-$27.00 an hour

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 Transformers and MLflow.
  • Stay curious - ask questions seek feedback and continuously improve your skills.

Required Qualifications

  • Current enrollment in a Bachelors 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.

Compensation Package: The salary range for this role is provided above. This is the national range for location(s) listed. The salary offer will be decided based on the roles complexity its location and the candidates professional background including their education and experience. Beyond the base salary regular full-time and part-time employees will also be eligible for QBEs annual discretionary bonus plan based on business and individual encourage all candidates to apply even if their salary expectations fall outside of this range as we are committed to finding the right fit for our team.

QBE Benefits: We offer a range of benefits to help provide holistic support for your work life whatever your circumstances. As a QBE employee you will have access to:

  • 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

To learn more click here: Benefits QBE US.

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

At QBE were enabling a more resilient future for our customers communities environment and for our people. Were 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 youll get to spend every day working with people who are passionate talented and kind. And our international scale means were 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!

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

How to Apply:

To submit your application click Apply and follow the step by step process.

Equal Employment Opportunity:

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


Required Experience:

Intern

Primary DetailsTime Type: Full timeWorker Type: EmployeeTitle: Data Science and Machine Learning Engineering Intern (Summer 2026)The Opportunity: 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 Lea...
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Key Skills

  • Microsoft Office
  • Public Relations
  • Google Docs
  • Data Collection
  • MailChimp
  • Microsoft Word
  • Dermal Fillers
  • Microsoft Powerpoint
  • Research Experience
  • Microsoft Excel
  • Adobe Photoshop
  • Writing Skills

About Company

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QBE Insurance Group is one of the world's top 20 insurance and reinsurance companies, located in 26 countries. Visit us for company information.

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