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