الوصف الوظيفي
Your Role
- Understand the insurance and reinsurance value chain to systematically identify opportunities for efficiency gains and process optimization.
- Support underwriting and reinsurance teams through data-driven insights, enhancing pricing models, and risk analytics through 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.
Your Profile
- 2 - 3 years of relevant experience in data science, advanced analytics, or machine learning roles – preferable in insurance or reinsurance entities
- Bachelor’s degree in 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 (, Azure, AWS, GCP, Databricks, etc.) and handling large, complex datasets.
- Experience leading analytical projects or workstreams, managing multiple stakeholders, and delivering 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
- Fluentin Arabic and English; additional languages such as French are an advantage
We offer you
- An international and highly professional working environment
- Work on complex, high-impact portfolios in a global reinsurance environment
- A positive working environment with flat hierarchies and a friendly, cooperative corporate culture