At a Glance
- Tasks: Develop and deploy data science solutions for smarter pricing decisions in commercial insurance.
- Company: Join QBE, a global insurer with a human touch and a collaborative culture.
- Benefits: Enjoy competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping data-driven strategies that benefit customers.
- Qualifications: Experience in data science and strong analytical skills are essential.
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
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Pricing Data Scientist in London employer: 慨正橡扯
At QBE, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact. As a Pricing Data Scientist in London or Stafford, you will benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth within a supportive team environment. Join us to be part of a diverse international community where your contributions are valued and your career aspirations can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist in London
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We think you need these skills to ace Pricing Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
