Provinzial Konzern is seeking a Data Scientist and Actuary to join the 'Future Building' team to advance data analytics, actuarial topics, and innovative solutions for expanding the capabilities of our property insurance offerings. The role involves uncovering insights from a broad set of internal and external data and working in cross-functional teams, with the potential to take on coordinating or leading responsibilities with stakeholders. Requirements include a university degree in a STEM field (Data Science, Actuarial Science, (Economics) Mathematics / Informatics, Statistics) and competencies in at least one area such as geoinformation systems, handling and analysis of large data sets, or combining internal data with external information. Programming skills (e.g., Python, PySpark, SAS, SQL) and willingness to learn new technologies (e.g., PySpark, Azure Synapse) are expected, as is practical experience with AI methods (ML, LLM). Creativity to rethink topics and harness innovation potential, plus experience in project coordination is desirable. Very good German language skills are required. We offer flexible working hours and a genuinely practiced work-life balance, time tracking with the option to convert pay into time off, a company pension scheme with attractive special payments, free lunch in our on-site restaurant and a Coffee Lounge, home office, innovative health management (company health insurance), childcare, various sports programs, extensive training opportunities, and our JobTicket & JobRad program. The job supports a hybrid work arrangement with offices in

Provinzial Konzern is seeking a Data Scientist and Actuary to join the 'Future Building' team to advance data analytics, actuarial topics, and innovative solutions for expanding the capabilities of our property insurance offerings. The role involves uncovering insights from a broad set of internal and external data and working in cross-functional teams, with the potential to take on coordinating or leading responsibilities with stakeholders. Requirements include a university degree in a STEM field (Data Science, Actuarial Science, (Economics) Mathematics / Informatics, Statistics) and competencies in at least one area such as geoinformation systems, handling and analysis of large data sets, or combining internal data with external information. Programming skills (e.g., Python, PySpark, SAS, SQL) and willingness to learn new technologies (e.g., PySpark, Azure Synapse) are expected, as is practical experience with AI methods (ML, LLM). Creativity to rethink topics and harness innovation potential, plus experience in project coordination is desirable. Very good German language skills are required. We offer flexible working hours and a genuinely practiced work-life balance, time tracking with the option to convert pay into time off, a company pension scheme with attractive special payments, free lunch in our on-site restaurant and a Coffee Lounge, home office, innovative health management (company health insurance), childcare, various sports programs, extensive training opportunities, and our JobTicket & JobRad program. The job supports a hybrid work arrangement with offices in