Data Scientist - Singapore - Munich Re

Munich Re
Munich Re
Verified Company
Singapore

1 week ago

Wei Jie

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Wei Jie

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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's regional analytics centre (RAC) of competence located in Singapore.

The RAC supports Munich Re's 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.


Your Job

  • Develop AIdriven insurance solutions using internal and external data
  • Develop AIdriven digital solutions that transform customer experience, increase automation and operational efficiency and reduce the impact of fraud, waste and abuse
  • 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's degree or higher, in Data/Computer Science or a similar field
  • Minimum of 3 years' experience of working in a dedicated data science role
  • Strong knowledge of AI, ML and DL methods
  • At least 3 years handson 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)
  • 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 nontechnical audiences and domain experts and translating analytics results into business solutions

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