Build foundational knowledge of feature sets and gain exposure to machine learning algorithms
Gain experience and work with analytics partners to build and put models into production, quantify and analyze model performance; guide and oversee model refreshing requirements
Make key contributions to fit-for-purpose analytics tools and infrastructure that will be used by the end user (e.g. claims handler or underwriter) and contribute to Information Technology strategy Network with other members of the department to establish mutual respect in business processes
Participate in weekly training sessions
Clearly communicate results of projects to technical and non-technical staff and present to entire actuarial and data science department
Required Qualifications
Completion of High School Diploma/GED
Full-time current enrollment in a bachelor’s or master’s degree program in Data Science, Data Engineering, Data Analytics, Actuarial Science, Mathematics, Computer Science or other quantitative fields
Must be returning to college/university upon completion of internship
Course work or relevant experience with demonstrated achievements
Ability to work from June 2nd, 2025 to August 8th, 2025
Preferred Competencies/Skills
Programming Proficiency: Strong programming skills in: Python, R, or Julia for data manipulation and model development.
Mathematical Proficiency: Strong mathematical foundation in calculus, probability, and linear algebra.
Statistical Analysis: Solid understanding of statistical concepts and techniques for data analysis.
Machine Learning: Experience with machine learning algorithms such as regression, classification, clustering, and gradient boosting.
Data Visualization: Ability to create clear and insightful data visualizations using tools like Matplotlib, Seaborn, or ggplot2.
Problem-Solving: Proven ability to break down complex problems and apply data science solutions.
Critical Thinking: Strong analytical and critical thinking skills to interpret data and derive meaningful insights.
Collaborative Attitude: Willingness to work in a team environment and contribute to collaborative projects.
Communication Skills: Effective communication of technical findings to non-technical stakeholders.
Adaptability: Willingness to learn and adapt to new data science techniques and tools
Preferred Knowledge
Data Manipulation: Proficiency in data manipulation libraries such as Pandas and NumPy.
Machine Learning Libraries: Familiarity with machine learning libraries such as Scikit-Learn, TenserFlow, or PyTorch
Probability and Statistics: Understanding or probability distributions, hypotheses testing, and statistical inference
SQL: Knowledge of SQL for querying and extracting data from databases
Sofware Engineering Practices: Understanding of fundamental software engineering principles such as version control (e.g., Git), code documentation, modular coding, and collaborative coding workflows to ensure maintainable and scalable data science projects
About QBE
We can never really predict what’s around the corner, but at QBE we’re asking the right questions to enable a more resilient future by helping those around us build strength and embrace change to their advantage. We’re an international insurer that’s building momentum towards realizing our vision of becoming the most consistent and innovative risk partner.
And our people will be at the center of our success. We’re proud to work together, and encourage each other to enable resilience for our customers, our environment, our economies and our communities.
With more than 12,000 people working across 27 countries, we’re big enough to make a real impact, but small enough to provide a friendly workplace, where people are down-to-earth, passionate, and kind.
We believe this is our moment: What if it was yours too?
Your career at QBE — let’s make it happen!
https://www.linkedin.com/company/qbe-north-america/
Relocation
Relocation will not be provided for this role
US Only - Travel Frequency
• NA
US Only - Physical Demands
• General office jobs: Work is generally performed in an office environment in which there is not substantial exposure to adverse environmental conditions. Must have the ability to remain in a stationary position for extended periods of time. Must be able to operate basic office equipment including telephone, headset and computer. Incumbent must be able to lift basic office equipment up to 20 lbs.
US Only - Disclaimer
• To successfully perform this job, the individual must be able to perform each essential job responsibility satisfactorily. Reasonable accommodation may be made to enable an individual with disabilities to perform the essential job responsibilities.
Job Type
• Individual Contributor
Global Disclaimer
• The duties listed in this job description do not limit the assignment of work. They are not to be construed as a complete list of the duties normally to be performed in the position or those occasionally assigned outside an employee’s normal duties. Our Group Code of Ethics and Conduct addresses the responsibilities we all have at QBE to our company, to each other and to our customers, suppliers, communities and governments. It provides clear guidance to help us to make good judgement calls.
Inclusion of Diversity
At QBE, we are deeply committed to fostering an inclusive workplace where each person is valued and respected for their authentic selves. If you require any assistance, such as alternative interview accommodations during the recruitment process, please do not hesitate to inform our Talent Acquisition team.
Compensation
Base pay offered will vary depending on, but not limited to education, experience, skills, geographic location and business needs.
Hourly Salary Range: $23.00 - $32.50; Dependent upon year in school
AL, AR, AZ, Fresno, CA, CO (Remote), DE (Remote), FL, GA, IA, ID, IL (Remote), IN, KS, KY, LA, MI, MN, MO, MS, MT, NC, ND, NE, NH, NV, OH, OK, OR, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV and WY
* * * * *
Hourly Salary Range: $25.50 - $35.75; Dependent upon year in school
CA (Remote, Irvine and Woodland), Greenwood Village CO, CT, Chicago IL, MA, MD, NY (Remote), RI, Houston TX and WA
* * * * *
Hourly Salary Range: $28.75 - $40.75; Dependent upon year in school
San Francisco CA, NJ, and New York City NY
Benefit Highlights
You are more than your work – and QBE is more than a workplace, which is why QBE provides you with the benefits, support and flexibility to help you concentrate on living your best life personally and professionally. Employees scheduled over 30 hours a week will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health.
We also offer a competitive 401(k) contribution and a paid-time off program. In addition, our paid-family and care-giver leaves are available to support our employees and their families.
At QBE, we understand that exceptional employee benefits go beyond mere coverage and compensation. We recognize the importance of flexibility in the work environment to promote a healthy balance, and we are committed to facilitating personal and professional integration for our employees. That's why we offer the opportunity for hybrid work arrangements.
If this role necessitates a hybrid working model, candidates must be open to attending the office 8-12 days per month. This approach ensures a collaborative and supportive work environment where team members can come together to innovate and drive success.
QBE recognizes that exemplary benefits extend beyond benefits coverage and compensation. Flexibility in your working environment is important to maintaining balance and QBE is dedicated to ensuring employees achieve personal and professional integration by providing the opportunity for hybrid work arrangements.
Skills:
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.
Yearly based
Sun Prairie, WI, USA
