indeed
Data Scientist and Analytics Specialist
General Reinsurance AG
, UAE
Full Time
Mid
Onsite
Yesterday
PythonRSQLMachine LearningArtificial IntelligenceData Science
Free
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About the Role
Gen Re is seeking a Data Scientist & Analytics Specialist for a permanent position in Dubai. The role involves applying AI/ML to underwriting analytics, pricing models, and portfolio insights.
Key Skills for This Role
PythonRSQLMachine LearningArtificial IntelligenceData Science
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
- Translate strategic objectives into data science roadmaps, defining success metrics, KPIs, and validation frameworks
- Apply advanced AI and ML modeling techniques to identify risk drivers and improve portfolio performance
- Utilize internal and external data sources to generate market and competitor insights
- 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 capability
Requirements
- 2 3 years of relevant experience in data science, advanced analytics, or machine learning
- Bachelor's degree in a quantitative discipline (Actuarial Science, Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field)
- Advanced proficiency in Python, R, SQL
- Experience with cloud based ecosystems (Azure, AWS, GCP, Databricks)
- Fluent in Arabic and English
Full Job Posting
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 (e.g., 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
- Fluent in 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
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