Job Description

Data Scientist

Company
Munich Re
Location
Singapore , Singapore
At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.
Artificial intelligence (AI) and advanced analytics are transforming the insurance industry across the value chain. Munich Re is at the forefront of this trend, having made a significant investment in start-of-the-art analytics infrastructure and software, central and regional analytics centers of competence and several successful analytics initiatives with its clients worldwide. Munich Re has experienced exponential growth in demand for analytics pilots from its clients in life, non-life and health. An exciting opportunity exists for a data scientist with advanced analytics skills to join Munich Re\xe2\x80\x99s regional analytics centre (RAC) of competence located in Singapore. The RAC supports Munich Re\xe2\x80\x99s Asia-Pacific (including China and Australia), Middle East and Africa business life and health business region. As such you will work in an agile and innovative area, gaining exposure to a wide variety of business problems, other teams of Munich Re, clients and geographies.
You will play a leading role in the execution of the full modeling cycle, including the integration of data, selection and application of predictive modeling techniques, model validation and deployment, and engagement with clients on results.
Your Job

• Develop AI-driven insurance solutions using internal and external data
• Develop AI-driven digital solutions that transform customer experience, increase automation and operational efficiency and reduce the impact of fraud, waste and abuse
• Support and advise the business units in applying the latest research methods and providing a central source for specialized know-how, tools and techniques for data analytics
• Presentation of statistical, ML and DL solutions to internal and external stakeholders
• Analytics consulting and presentations to clients and internal colleagues
• Collaborate with internal partners in Life and Health and the data analytics centre in Munich to leverage capabilities in big data technology

Your profile

• Master\xe2\x80\x99s degree or higher, in Data/Computer Science or a similar field
• Minimum of 3 years\xe2\x80\x99 experience of working in a dedicated data science role
• Strong knowledge of AI, ML and DL methods
• At least 3 years hands-on coding in R, Python, SQL (e.g. ETL)
• Experienced in carrying out exploratory data analysis, model development and visualization in Jupyter Notebooks (Python and R)
• Demonstrable experience in applying traditional regressions (e.g. GLMs), ML (decision trees, random forest, boosted trees, etc.), natural language processing, DL
• Analytics translation and stakeholder management: scoping and initiating analytics projects (translation of business problems to analytical model and project designs), presenting analytics value propositions to clients and internal colleagues
• Working on data science virtual machines on the cloud (Azure, AWS, etc.)
• Strong in documenting analytics results
• Able to explain analytics concepts and results to non-technical audiences and domain experts and translating analytics results into business solutions

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