Specialist Data Science

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

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

See also