Job Description

Artificial intelligence 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 centres of competence and several successful analytics initiatives with its clients worldwide.

An exciting opportunity exists for a Data Scientist to join Munich Re\'s regional analytics centre (RAC) in Singapore. The RAC supports Munich Re\'s APAC MEA Life and Health business. As such you gain exposure to a wide variety of business problems, other teams of Munich Re, clients and geographies.

Using advanced analytics methods to derive actionable insights from existing and new sources of data, you will contribute to new services and business models. Predictive analytics applications will span the entire insurance value chain from transforming the customer experience during underwriting, cross-selling, pricing and experience analysis, lapse prevention through to claims management decisions. You will work together with our clients, actuaries, underwriters, client managers, the IT department, other analytics teams worldwide including at our head office in Munich. You will apply Machine Learning (ML) and Deep Learning (DL) methods to interpret all types of data (structured, unstructured, images, etc.) and build solutions to and solve problems our clients are facing today.

Reporting to the Chief Analytics Officer, you will play a leading role in the execution of the full modelling cycle, including the integration of data, selection and application of predictive modelling techniques, model validation and deployment, and engagement with clients on results.

Your Job

• Develop insurance business solutions based upon insight discovered from data
• Participate in and manage projects in the fields of statistics, ML and DL
• Develop and implement solutions that enable operational units to increase quantity and quality of new business
• Support and advise the business in applying the latest research methods and providing a central source for specialized know-how, tools and techniques for data analytics
• Present statistical, ML and DL solutions to internal and external stakeholders
• Network with already existing data-intensive units in the area of analysis and reporting, as well as with IT to form an analytics community.
• Collaborate with internal partners in Life and Health and the data analytics centre in Munich to leverage capabilities in big data technology

Your Profile

• Minimum Bachelors degree but preferably Master\'s or PhD in Data Science / Advanced Data Analytics, Statistics, Computer Science, or a comparable discipline.

• Minimum 3 years\' experience in Data Science / AI / ML and experience managing analytics projects, end to end
• Advanced-level hands-on coding in Python (must have), R SQL (e.g. ETL)
• Familiarity with business intelligence (descriptive analytics) tools, e.g. PowerBI, D3.js, Dash, JavaScript, etc.
• Demonstrable experience coding and applying traditional regressions (e.g. GLMs), ML (decision trees, random forest, boosted trees, etc.), natural language processing, DL
• Understanding of RESTful APIs and microservices
• Experience in using Git and repos
• Strong communication in:

• Documenting analytics results
• Verbally explaining analytics concepts and results to non-technical audiences and domain experts and translating analytics results into business solutions
• Ability to deliver under short but reasonable timelines
• Ability to lead initiatives independently, capacity for innovation, entrepreneurial mindset, forward-looking, enjoy working in a team
• Willingness to travel within Asia for short periods
• Understanding of LLMs and its applications is an advantage
• Familiarity with data science virtual machines on the cloud (Azure, AWS, etc.) is an advantage
• Experience mentoring more junior data scientists is an advantage
• Experience in insurance / insuretech is an advantage

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.

Munich Re