Senior / GenAI Data Scientist

{"description": "Artificial intelligence (AI), including traditional AI (machine learning) and Generative/Agentic AI, is transforming the insurance industry across the value chain. Munich Re is at the forefront of this transformation, with significant investment in state-of-the-art AI infrastructure and software, as well as central and regional AI and analytics centres (RACs) of excellence and multiple successful AI engagements with clients worldwide.

Munich Re has experienced strong growth in demand for analytics pilots from Life and Health clients. We are offering an exciting opportunity for a Senior GenAI Data Scientist or GenAI Data Scientist to join the Munich Re RAC based in Singapore, covering Asia-Pacific, Middle East and Africa Life and Health business. In this role, you will work in an agile and innovative environment, gaining exposure to a wide range of business challenges, teams, clients and geographies.

In this role you will contribute to the development of AI-driven client services and internal use cases. AI applications span the full insurance value chain, including underwriting, cross-selling, pricing, experience analysis and claims decision support.

You will play a key role across the full AI lifecycle, from development through to production, client deployment and ongoing maintenance. You will collaborate closely with clients, actuaries, underwriters, claims assessors, client managers, IT colleagues and AI teams globally, including our Head Office in Munich. This role provides an opportunity to combine expertise in traditional AI, GenAI and Agentic AI with new domain knowledge to help pioneer industry-leading solutions.

Your Role:

• Develop and deploy cutting-edge GenAI and Agentic AI insurance solutions
• Actively contribute to and, where appropriate, lead projects across machine learning, GenAI and Agentic AI
• Enable Munich Re's business units in reinsurance business by developing AI solutions
• Apply and experiment with emerging AI technologies, strengthening the team's capability as a regional AI centre of excellence
• Build communication and presentation skills by sharing AI solutions with internal and external stakeholders
• Collaborate with Life and Health partners including IT and global AI teams across Munich Re to exchange expertise and best practices

Your Profile:

• Tertiary qualification in Data Science, Advanced Analytics or a comparable discipline, or equivalent practical experience
• At least 2 years of industry experience delivering GenAI use cases and agentic workflows, including (but not limited to) information retrieval, summarisation, inference, OCR and LLM evaluation and optimisation
• Understanding of token economics, core LLM architectures and their practical applications
• Exposure to OCR tools and multimodal models (e.g. vision-language models) is advantageous
• Strong theoretical knowledge of GenAI, Agentic AI and machine learning, with practical experience deploying AI solutions
• A minimum of 4 years of hands-on coding experience in Python, R and SQL, including ETL processes, APIs and application integration
• Familiarity with front-end and back-end development; full-stack or JavaScript-based visualisation experience is an advantage
• Experience working with RESTful APIs and microservices architectures
• Evidence of applied analytics work (e.g. Git repositories, Kaggle projects, technical blogs)
• Proven experience delivering AI projects end to end
• Experience with exploratory data analysis, model development and visualisation using Jupyter Notebooks and Databricks
• Experience with data visualisation tools such as Power BI, Dash, D3.js or JavaScript frameworks
• Hands-on experience with Apache Spark and Databricks in a cloud environment (e.g. Azure or AWS)
• Strong stakeholder management skills and the ability to collaborate effectively across functions
• Clear and confident communication skills, including:
• Documenting AI solutions and outcomes
• Explaining technical concepts to non-technical audiences and translating insights into business impact
• Ability to manage priorities and deliver outcomes within agreed timelines
• Curiosity, a growth mindset and a collaborative approach to problem solving
• Willingness to travel within Asia for short periods, where required

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.", "salary_raw": "Row(double=None, string=None)"}