At a Glance
- Tasks: Develop and deploy data science solutions for smarter pricing decisions in insurance.
- Company: Join QBE, a global insurer with a human touch and a collaborative culture.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent mentorship and career development opportunities.
- Why this job: Make a real impact by shaping data-driven strategies that enhance customer outcomes.
- Qualifications: Experience in data science, statistical methods, and proficiency in Python 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. 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.
Your new role:
- 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.
About You:
- 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 Stafford employer: QBE Europe
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 of passionate individuals. Join us to not only advance your career but also contribute to shaping the future of insurance with cutting-edge data science solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist in Stafford
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like QBE Europe.
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We think you need these skills to ace Pricing Data Scientist in Stafford
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at QBE Europe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at QBE Europe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at QBE Europe
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at QBE Europe!
✨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.
