Role Overview
Primary Details: Time Type: full time, Worker Type: employee. Location: London / Stafford - Hybrid.
Pricing Data Scientist: Develop and deploy data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation.
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.
- Proficient in GLMs, machine learning techniques and related disciplines.
- Good understanding of data modelling techniques, tools/language - preferably Python.
- Experience with data science domain, statistical and analytical model development, and implementations.
- Good knowledge of visualization tools like PowerBI, Tableau, etc.
- Experience with insurance pricing tools (such as Emblem and Radar) is preferred but not essential.
- Strong communication, critical thinking, data visualization, financial products, innovation, intentional collaboration, teamwork, mentorship, research analysis, risk management, stakeholder management, and 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.