Principal Data Scientist: AI Strategy & Delivery Lead

MUNICH MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Munich Management PTE. LTD. in Singapore seeks a Principal Data Scientist to shape and deliver high-impact data science and AI solutions for clients and internal business units.

You will stay hands-on while guiding senior stakeholders, setting technical direction and ensuring scalable, measurable outcomes. You will collaborate with data engineering, MLOps, platform and product teams, mentor teams, and embed responsible AI, governance, security and regulatory considerations throughout the

Qualifications

• Master’s degree in CS/AI/DS with related undergrad in CS.
• 9–12 years of hands-on data science and ML delivery.
• Strong leadership with measurable enterprise or client impact.

Responsibilities

• Set technical direction for high-value data science initiatives.
• Lead end-to-end delivery from discovery to production.
• Architect Python-based ML solutions across structured and unstructured data.
• Establish evaluation frameworks and acceptance criteria.
• Advise stakeholders and shape roadmaps and pre-sales activities.
• Mentor data scientists and engineers; raise engineering standards.
• Collaborate with data engineering, MLOps, platform and product teams.
• Embed responsible AI, security, governance throughout the lifecycle.

Skills

Python

SQL

Data science leadership

Communication

ML lifecycle

Cross-functional leadership

Technical strategy

Education

Master's degree in CS/AI/DS

Tools

Databricks

MLOps

CI/CD

Version control

Job description

Munich Management PTE. LTD. in Singapore seeks a Principal Data Scientist to shape and deliver high-impact data science and AI solutions for clients and internal business units.

You will stay hands-on while guiding senior stakeholders, setting technical direction and ensuring scalable, measurable outcomes. You will collaborate with data engineering, MLOps, platform and product teams, mentor teams, and embed responsible AI, governance, security and regulatory considerations throughout the