Data Science Lead
Data Science Lead at QBE Insurance — London, England, GB
- Company: QBE Insurance
- Location: London, England, GB
- Employment type: FULL_TIME
- Salary: GBP 85000–120000 / year
- Posted: 2026-05-23
About this role
Data Science Lead
QBE Insurance - London (Hybrid)
About the Role:
QBE is looking for a Data Science Lead to join our Analytics team in London. You will lead a team of data scientists working on pricing, underwriting, and claims analytics across our European business.
Responsibilities:
- Lead and mentor a team of 4-6 data scientists on predictive modeling and analytics projects
- Develop machine learning models for insurance pricing, underwriting risk assessment, and claims prediction
- Partner with actuarial, underwriting, and claims teams to identify and prioritize analytics opportunities
- Design and implement MLOps pipelines for model deployment, monitoring, and governance
- Present insights and model results to senior leadership and business stakeholders
- Ensure data quality and governance standards across analytics projects
- Stay current on advances in machine learning, NLP, and AI relevant to insurance
- Manage project timelines, resources, and priorities across the analytics portfolio
- Contribute to the data science recruitment and team development strategy
Requirements:
- 7+ years of experience in data science, with 2+ years in a leadership or management role
- Strong proficiency in Python and machine learning libraries (scikit-learn, XGBoost, PyTorch)
- Experience with cloud platforms (AWS or Azure) and big data tools (Spark, Databricks)
- Solid understanding of statistical methods, feature engineering, and model evaluation
- Experience in insurance, financial services, or a regulated industry preferred
- Strong SQL skills and experience with data visualization (Tableau, Power BI)
- Excellent communication skills with ability to explain technical concepts to non-technical audiences
- BSc/MSc in Computer Science, Statistics, Mathematics, or related quantitative field
Benefits:
- Competitive salary and annual bonus
- 30 days annual leave plus bank holidays
- Private medical insurance
- Pension scheme with employer contribution
- Flexible and hybrid working arrangements
- Professional development and training budget