Data Scientist - QPS (Insurance)

Location: London, United Kingdom; hybrid. The role requires the right to work in the UK; QBE may consider sponsorship at its discretion. Employees may request up to 20 days per year of remote work from certain locations abroad.

Company

hirify.global is an international insurer with more than 13,000 employees across 26 countries.

What you will do

• Develop pricing, statistical, and machine-learning models for underwriting and portfolio decisions.
• Analyse policy, exposure, claims, and pricing data to identify trends, risks, and opportunities.
• Build reusable analytical solutions with Python, SQL, and Databricks.
• Apply reproducibility, testing, version control, and maintainable ML engineering practices to operationalise models.
• Collaborate with underwriting, pricing, catastrophe modelling, Data & AI, and engineering teams.
• Explain complex analysis and provide recommendations to technical and non-technical stakeholders.

Requirements

• Strong analytical and problem-solving skills with practical experience in pricing, statistical modelling, or machine learning.
• Strong Python skills and confidence working with data; SQL experience is highly desirable.
• Knowledge of reproducibility, testing, version control, and good software or ML engineering practices.
• Ability to work with technical teams and business stakeholders and explain complex analysis clearly.
• Interest in applying machine learning to real commercial problems.
• Applicants may come from a commercial insurance pricing or actuarial background, including portfolio analytics, GLMs, rate adequacy, risk selection, or portfolio performance, or from a data science or machine learning background including predictive modelling, feature engineering, ML pipelines, workflow automation, or MLOps.
• Existing right to work in the UK is required.

Nice to have

• Experience in commercial or specialty insurance.
• Experience with Python, SQL, and Databricks in data science or machine learning work.

Culture & Benefits

• Permanent, full-time employee position with flexible working options, including part-time, job share, and compressed hours.
• 30 days of annual leave, with the option to buy up to two additional days.
• QBE pension plan with employer contributions of 10% of basic salary.
• Fully funded private medical insurance for employees and their families, plus family-friendly policies including 26 weeks of leave at full pay.
• Cycle-to-Work benefit with bicycle and accessory support up to £5,000.
• Focus on sustainable investing and support for long-term financial, environmental, and social outcomes.

Hiring process

• Submit the application by clicking Apply and following the step-by-step process.