Vista previa de la oferta
Specialist Data Science
Data Science & Analytics
Your Tasks
- Take functional ownership of specific data domains
- Consolidate expertise across existing data sources and apply various methods in Data Engineering and Analytics
- Independently develop and maintain global pricing tools (primarily R-based, partly Python-based) based on business specifications provided by the central Pricing Actuarial team
- Design and implement Data Science and Analytics use cases independently
- Develop, deploy, and maintain Data Analytics products in the cloud
- Expand the Analytics Engineering tool stack and automate HDI Global processes (e.g., for local line-of-business analyses and risk assessments)
- Further develop Data Engineering processes and standards
- Support business units in defining use cases and analyzing internal and external data
Your Profile
- Successfully completed degree in Computer Science, Business Informatics, Statistics, Data Science, or a comparable qualification
- Initial professional experience in controlling, actuarial work, or a related field, ideally within industrial insurance
- Project experience in Data Science, Data Warehousing, or Business Intelligence environments; experience with GitLab CI/CD and Docker is desirable
- Strong understanding of insurance-specific processes and solid knowledge of Data Science methods
- Initial knowledge of insurance lines and products within a data domain is advantageous, along with experience in data modeling, data workflows, performance optimization, ETL implementation, cloud technologies, and APIs
- Experience in generating statistical insights from large datasets
- Strong technical orientation with proven software development expertise, particularly in R, SQL, and Python
- Excellent analytical and conceptual thinking skills, especially in quickly understanding complex topics
- High standards of excellence in project delivery
- Strong communication and teamwork skills, combined with initiative, commitment, and an entrepreneurial mindset
- Excellent written and spoken English skills