About this role
The role involves independently assessing and validating AI/ML models, including LLMs and agentic workflows, to ensure logical soundness and performance. You will produce comprehensive validation reports and collaborate with cross-functional teams to uphold Responsible AI principles.
Candidates should have at least 4 years of experience in model development or validation within regulated environments. A postgraduate degree in a quantitative discipline is preferred, along with strong theoretical knowledge of machine learning and statistical modeling.
What they're looking for
Data ScienceMachine LearningModel ValidationAI EvaluationStatistical ModelingFeature EngineeringSHAPLIME
Frequently asked questions
What does a AVP/VP, Data Scientist, Data Management Office at SMBC do?
The role involves independently assessing and validating AI/ML models, including LLMs and agentic workflows, to ensure logical soundness and performance. You will produce comprehensive validation reports and collaborate with cross-functional teams to uphold Responsible AI principles. Candidates shou…
What skills does this AVP/VP, Data Scientist, Data Management Office role need?
Key skills for this role include Data Science, Machine Learning, Model Validation, AI Evaluation, Statistical Modeling, Feature Engineering.
How much does a AVP/VP, Data Scientist, Data Management Office at SMBC pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this AVP/VP, Data Scientist, Data Management Office role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this AVP/VP, Data Scientist, Data Management Office role?
You can apply directly on SMBC's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.