Job Description

*Primary Details *

Time Type: Full time

Worker Type: Employee

At QBE, our purpose is to give people the confidence to achieve their ambitions inside and outside of work. From development opportunities to flexible work options and highly competitive reward and benefits packages, we understand the importance of living our values when it comes to our people. Everything we do at QBE is underpinned by our company’s cultural elements - because we know it's not just what we do that matters, it's how we do it that makes the difference.

This opportunity is accountable for supporting modeling and data science for assigned business areas contributing to the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling. Works under immediate supervision with a focus on learning and professional development.

Past example intern projects involve machine learning models supporting fraud detection and pricing segmentation, as well as model deployment and governance.

Primary Responsibilities

• 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!

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.

Compensation

Base pay offered will vary depending on, but not limited to education, experience, skills, geographic location and business needs.

Hourly Salary Range: $23.50 - $29.00; 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: $26.00 - $32.00 ; 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: $29.50 - $36.25 ; 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.

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.

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.

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