Primary Details

Time Type: Full time

Worker Type: Employee

The Opportunity

The purpose of this role is to contribute to data science projects, ensuring the scientific integrity of work products in assigned business areas.  Additionally, the role involves providing data modelling and analysis support, optimizing processes through Machine Learning, and serving as a modelling and data science partner for specific business areas to enhance work products' scientific integrity.

Location: WI – Sun Prairie  

Work Arrangement: Hybrid (2-3 days in the office)

The salary range for this role is between $$64,000 - $96,000 depending on experience

Your new role

• Conduct exploratory data analysis to obtain insights using analytical methods and statistical techniques.

• Solve data issues to provide advice on underwriting policies and to support decision-making and improve operational efficiency.

• Provide subject matter guidance to build and deploy models, and analyse model performance.

• Collaborate with other analytics team members to size analytical opportunities and create delivery plans for positive commercial returns.

• Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth.

• Assist in developing commercial propositions using analytics within insurance core functions.

• Development of own knowledge of new feature sets and explore machine learning algorithms for extracting new features

Work Experience:

Necessary Work Experience includes:

• Some relevant work experience.

Preferred Work Experience includes:

• Experience in producing insights from large datasets using R, Python, Spark.

• Collaborative programming project experience.

• Comfortable working in a Linux environment.

• Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering.

Qualifications:

Necessary Qualifications include:

• Tertiary Degree or equivalent combination of education and work experience.

Preferred Qualifications include:

• Postgraduate Degree.

• Degree qualified in econometrics, mathematics, statistics or related discipline.

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 role's complexity, its location, and the candidate’s professional background, including their education and experience. Beyond the base salary, regular full-time and part-time employees will also be eligible for QBE’s annual discretionary bonus plan based on business and individual performance. We 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, we’re enabling a more resilient future – for our customers, communities, environment, and for our people. We’re 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, you’ll get to spend every day working with people who are passionate, talented and kind. And our international scale means we’re big enough for your ambitions,