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About the Role
This role offers exposure to underwriting analytics, pricing models, portfolio insights, and risk evaluation within a global, data-driven reinsurance environment. You will collaborate closely with underwriting and actuarial teams to transform complex datasets into actionable insights that inform strategic risk decisions.
Responsibilities
- Understand the insurance and reinsurance value chain to identify opportunities for efficiency gains and process optimization.
- Support underwriting and reinsurance teams through data-driven insights, enhancing pricing models, and risk analytics using AI and ML models.
- Translate strategic objectives into data science roadmaps, defining success metrics, KPIs, and validation frameworks.
- Apply advanced AI and ML modelling techniques to identify risk drivers, optimize selection, and improve portfolio performance and processes.
- Utilize internal and external data sources to generate market and competitor insights supporting strategic decisions.
- Collaborate cross-functionally to prototype, test, and scale new data-driven solutions.
- Drive innovation through advanced analytics, machine learning, and AI applications to support new product development.
- Share knowledge, best practices, and reusable tools to elevate team and organizational capability.
Requirements
- 2-3 years of relevant experience in data science, advanced analytics, or machine learning roles, preferably in insurance or reinsurance entities.
- Bachelor’s degree in a quantitative discipline such as Actuarial Science, Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
- Professional certifications in data science, machine learning, cloud platforms (Azure/AWS/GCP), or actuarial qualifications are advantageous.
- Experience working in cloud-based ecosystems (e.g., Azure, AWS, GCP, Databricks, etc.) and handling large, complex datasets.
- Experience leading analytical projects or workstreams, managing multiple stakeholders, and delivering under tight timelines.
- Advanced proficiency in Python, R, SQL, AI tools (copilot, Claude, OpenAI, and others).
- Excellent communication and stakeholder management skills.
- Creative, collaborative, and solutions-oriented.
- Fluent in Arabic and English; additional languages such as French are an advantage.
Skills
- Data Science
- Advanced Analytics
- Machine Learning
- AI
- Python
- R
- SQL
- Cloud Platforms (Azure/AWS/GCP)
- Databricks
- Underwriting Analytics
- Pricing Models
- Portfolio Insights
- Risk Evaluation
- Risk Analytics
- Stakeholder Management
- Communication
Location
- Dubai
Work Type
- Permanent
- Full-time
Experience Level
- 2-3 years
Education Level
- Bachelor's degree in a quantitative discipline
Benefits
- International and highly professional working environment
- Work on complex, high-impact portfolios in a global reinsurance environment
- Positive working environment with flat hierarchies and a friendly, cooperative corporate culture
About the Company
- General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations with over 2,000 employees worldwide.
- Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries.
- The company is represented in all major reinsurance markets through a network of 36 offices and has earned superior financial strength ratings from major rating agencies.
- Gen Re values diversity, equality, and inclusion, promoting a culture that supports professional and personal growth.