Actuarial Senior Data Scientist II

Primary DetailsTime Type: Full time

Worker Type: Employee

The Opportunity:

The purpose of this role is to leverage advanced analytics and machine learning to drive business value and improve performance across underwriting, pricing, and claims, while ensuring regulatory compliance and fostering innovation.

• Location: Sun Prairie, WI, Chicago, IL, Atlanta, GA or New York, NY highly preferred, but will consider any of our office locations, or possibly remote for the right candidate

• Work Arrangement: This role is ideally a hybrid role, requiring 2-3 days/week in the office, though fully remote may be a consideration for the right candidate

• The starting salary range for this role is between $96,000-$180,000

Your New Role:

• Design and develop advanced insurance pricing models using statistical and machine learning techniques to support strategic pricing decisions and revenue optimization.
• Perform ongoing model validation to ensure robustness, accuracy, and compliance with internal and regulatory standards.
• Monitor model performance over time, identifying drift, degradation, or anomalies, and implement corrective actions as needed.
• Build and deploy analytics solutions that address complex business challenges, leveraging large-scale datasets to generate actionable insights.
• Collaborate closely with cross-functional teams including actuarial, underwriting, and product to align modeling efforts with business goals.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through presentations, dashboards, and reports.
• Document model development processes, assumptions, and validation results to ensure transparency and reproducibility.
• Take initiative to support broader team goals and perform additional tasks as needed to drive business success.
• Demonstrate strong teamwork and collaboration, actively contributing to a positive and inclusive team culture. 
• Represent the organization professionally in all interactions with internal and external stakeholders.
• Stay current with industry trends in insurance pricing, data analytics, and machine learning to continuously improve modeling approaches.

Work Experience:

Necessary Work Experience includes:

• 3+ years of experience in insurance data analytics, preferably within the Property & Casualty domain, with a strong understanding of underwriting, claims, and pricing workflows.
• Hands-on experience developing pricing models using statistical, actuarial, or machine learning techniques to support rate-making, segmentation, and profitability analysis.
• Participation in cross-functional initiatives, demonstrating strong collaborative skills and business acumen.
• Strong communication skills, with a track record of presenting technical findings to technical and non-technical stakeholders.
• Proficiency in Python.

Preferred Work Experience includes:

• Solid understanding of actuarial ratemaking principles, including exposure rating, loss cost modeling, and rate adequacy analysis.
• Proficiency in PySpark for distributed data processing and pipeline development.
• Experience with SQL for querying and manipulating large-scale structured datasets.
• Experience with cloud-based analytics environments.
• Experience working with actuarial teams or in a blended actuarial/data science environment.

Qualifications:

Necessary Qualifications include:

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, Data Science, or a related discipline.

Preferred Qualifications include:

• Progress toward the Associate of the Casualty Actuarial Society (ACAS) designation HIGHLY preferred.

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, 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!

https://www.linkedin.com/company/qbe-north-america/

Commitment to Diversity

QBE 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.

Supplementary information

Skills:

Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Strategic Leadership, Team 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.