Senior AI/ML Strategy Lead & Technical Architect

Munich Re

Singapore

On-site

SGD 180,000 - 280,000

Full time

23 hours ago
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Job summary

Munich Re in Singapore seeks a Principal Data Scientist to shape and deliver high-impact data science and AI solutions for clients and internal teams. You will set technical direction, stay hands-on, and influence senior stakeholders while building talent and governance standards.

You will lead end-to-end delivery, architect robust Python-based ML solutions, and drive adoption, monitoring, and continuous improvement.

Qualifications

  • Master’s degree in a relevant field with 9–12 years of hands-on data science/AI leadership experience.
  • Proven track record delivering enterprise-level ML/AI solutions with measurable impact.
  • Strong Python/SQL development and production-quality software engineering practices.

Responsibilities

  • Set technical direction for high‑value data science initiatives aligned with business goals.
  • Lead end-to-end delivery from discovery to production and adoption.
  • Architect scalable Python-based ML solutions across structured and unstructured data.
  • Establish evaluation baselines, monitor model performance and governance.
  • Translate business needs into executable roadmaps and communicate trade-offs.
  • Engage senior stakeholders and shape data science propositions and pre‑sales material.
  • Lead workstreams, manage risks, and drive quality, speed, and cost trade-offs.
  • Mentor data scientists and engineers, raise engineering standards, and share patterns.

Skills

Machine learning
Statistics
Experimental design
Python
SQL
ML lifecycle
Leadership
Communication

Education

Master's degree in Computer Science/AI/ML/Data Science/Engineering

Tools

Databricks
MLOps

Job description

Munich Re in Singapore seeks a Principal Data Scientist to shape and deliver high-impact data science and AI solutions for clients and internal teams. You will set technical direction, stay hands-on, and influence senior stakeholders while building talent and governance standards.

You will lead end-to-end delivery, architect robust Python-based ML solutions, and drive adoption, monitoring, and continuous improvement.

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