
Data Scientist, AI Model Validation and Governance
- Singapore
- Permanent
- Full-time
- Independently validate AI/ML models, identify potential issues, and recommend improvements
- Develop and maintain internal tools for model testing, evaluation, and performance monitoring
- Assess model performance using appropriate metrics and validation techniques
- Document model assumptions, limitations, and validation results with minimal oversight
- Maintain model inventory and track lifecycle stages
- Collaborate with business and technical teams to translate needs into data-driven solutions
- Serve as a regional liaison between global AI governance and Asia-based teams
- Communicate effectively in both English and Mandarin with regional and global stakeholders
- Stay current with AI/ML advancements and proactively apply new knowledge
- 2 to 4 years of experience in data science or machine learning roles, ideally with exposure to GenAI models.
- 1+ years of experience with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- A postgraduate degree in a quantitative field (e.g., Computer Science, Statistics, Engineering)
- Demonstrated ability to work independently and manage projects
- Fluency in both English and Mandarin (spoken and written)
- Familiarity with model validation, performance benchmarking and testing.
- Extensive experience with programming languages such as Python, and machine learning libraries/frameworks like PyTorch, TensorFlow, Hugging Face.
- Strong analytical skills, attention to detail, and a passion for driving both technical excellence and ethical responsibility in AI.
- Experience working in a multinational or cross-cultural environment
- Strong analytical and problem-solving skills
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see