At a Glance
- Tasks: Develop predictive models for pricing and underwriting decisions, translating data into actionable insights.
- Company: QBE is an international insurer with over 13,000 employees across 26 countries, focusing on innovative risk solutions.
- Benefits: Enjoy a hybrid work model in London or Stafford, contributing to impactful insurance solutions.
- Other info: Mentorship opportunities available for junior team members.
- Why this job: Shape the future of pricing strategies while working with passionate and talented colleagues.
- Qualifications: Strong knowledge of statistical methods and proficiency in Python; insurance experience preferred.
The predicted salary is between 55000 - 65000 £ per year.
This role focuses on developing and deploying data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation.
About QBE
At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner.
The Opportunity
As a Pricing Data Scientist at QBE, you will play a key role in shaping how we use data to drive smarter pricing decisions and deliver better outcomes for our customers. Sitting at the heart of our underwriting and pricing function, you’ll combine advanced analytics with commercial insight to influence strategy, improve portfolio performance, and support innovation across the business. You’ll work closely with stakeholders across underwriting, pricing, and data teams, helping translate complex data into clear, actionable insights while contributing to the development of next‑generation pricing capabilities.
Responsibilities
- Identify and prioritise high‑value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention)
- Lead discussions with business stakeholders to identify how data science can improve decision‑making and outcomes
- Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation
- Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions
- Monitor and evaluate model performance, defining refresh and recalibration requirements
- Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers)
- Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling
- Lead the development of new analytical propositions to enhance core insurance functions
- Lead analytical projects and coordinate delivery across teams
- Mentor junior team members and support their development
Qualifications
- Insurance experience is preferred but not essential
- Strong knowledge of statistical / data mining methods and application in a business environment
- Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in GLMs, machine learning techniques and related disciplines
- Good understanding of data modelling techniques, tools/language – (preferably Python)
- Good knowledge of visualization tools like PowerBI, Tableau etc.
- Experience of insurance pricing tools (such as Emblem and Radar) is preferred but not essential
Skills
- Communication
- Critical Thinking
- Data Science
- Data Visualization
- Financial Products
- Innovation
- Intentional collaboration
- Machine Learning (ML)
- Managing performance
- Mentorship
- Research Analysis
- Risk Management
- Stakeholder Management
- Team Management
- Thought Leadership
Equal Employment Opportunity
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Pricing Data Scientist employer: 慨正橡扯
QBE offers a hybrid work environment in London or Stafford, fostering innovation in commercial insurance. Join a diverse team dedicated to making a positive impact through data-driven solutions.
