Position Title: Data Science Intern, Life & Health

Description: 

Munich Re is one of the world’s leading reinsurance companies with around 11,000 employees at over 50 locations around the globe. We are already dealing with issues today that tomorrow will concern the whole of society, whether it is with climate change, major construction projects, gene technology or space travel. We find answers to these questions through a network of highly qualified colleagues, who anticipate risks, work on tailor-made solutions and competently advise our clients. If you want to experience shaping the future as part of our team, we look forward to your application at Korea Branch.

Your Role

• Model Pipelines Development Assistance 

• Conduct exploratory data analysis to understand trends and patterns 
• Perform data preprocessing to optimize model training 
• Perform model training, validation, and testing 
• Optimize hyperparameters to enhance model performance 

• Model Management Assistance

• Manage version control for models and associated data
• Document model development processes and codebase
• Prepare reports and presentations to showcase model performance metrics 

• Knowledge Discovery and Research

• Conduct research to identify cutting-edge algorithms and methodologies
• Stay updated on the latest developments and technologies in the field of machine learning

Your Profile

• Pursuing a degree / diploma in computer science, data science, machine learning, statistics, or related disciplines 
• Proficient in Python or R, with a good understanding of data manipulation libraries
• Experience with end-to-end machine learning projects (preferred) 
• Experience with SQL language and database management (preferred) 
• Strong problem-solving capabilities and analytical mindset 
• Fluent in English (both verbal and written business level)

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experience, perspectives and thought. This interaction is the foundation of our open culture, spirit of partnership, of how our teams are built and cultivated, and of how we are supported and developed. And at the centre of this interaction is each of us.