Junior Data Scientist
7 months ago
Junior Data Scientist
Munich Re is the world’s largest reinsurer and a leading provider of reinsurance solutions in the Middle East. Reporting to the Head of Data Analytics, the Junior Data Scientist will understand the Life & Health reinsurance business from Underwriting and Actuarial perspectives, ensuring an appropriate level of statistical significance in insights and help educate stakeholders in their interpretation of analsyses.
**Company**
Munich Re
**Location**
Dubai, United Arab Emirates
**Your Job**
- Develop and maintain an understanding and a sound base knowledge of life & health insurance and reinsurance and the technical requirements for appropriate data management.
- Automation of data extraction, developing data pipelines and data warehouse designs
- Application of statistical and machine learning (supervised and unsupervised) methods
- Interpretation of model outcomes in a business context and advanced data visualizations
- Work with structured databases containing data from multiple sources, at various granular levels, to deliver good-quality analytics and visualization projects
- Validate data to ensure confidence in data quality.
- Assist team members in data extractions for ad-hoc projects to support proper risk management
- Provide underlying technical support to the actuarial team in monthly reserving data preparation, and consolidations.
- Create new or modify existing reports to address evolving needs.
- Add more flexibility to the existing monitoring tools where required.
- Analyze the root cause of performance movement through drill-down exercises.
- Highlight data discrepancies and independently escalate with internal and external stakeholders describing underlying risks and reaching a successful and workable solution.
- Drive automation of existing data processes to improve underwriting efficiency
**Your Profile**
- 1-2 years of experience as a working student or a data analyst preferably within the insurance/reinsurance/actuarial field.***
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Actuarial Science, and/ or a comparable degree with a sound IT and mathematical background
- Good knowledge of R, SAS, Power BI, Tableau, or Online insurance data platforms will be a strong advantage.
- Experience in data warehouse architectures and ETL & CDC tools, such as Informatica, Azure Data Factory, or similar
- Data modelling (understands transactional vs. analytical models, graphs structures, and document stores)
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