Senior Data Scientist: ML & GenAI for Banking Growth

Trust Bank; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Trust Bank is seeking a Senior Data Scientist to tackle complex challenges with a focus on statistical modelling and machine learning. In this role, you will utilize AWS SageMaker and Large Language Models to develop predictive models that enhance customer engagement and drive revenue growth.

The ideal candidate will have over 7 years of data science experience, a Master's or PhD in a quantitative field, and the capability to translate data insights into actionable business strategies.

Qualifications

• 7+ years of hands-on experience in data science with a strong focus on business/commercial analytics in banking.
• Proven track record building and deploying production-grade predictive models.
• Strong communication skills to present complex findings to non-technical stakeholders.

Responsibilities

• Design, build, and deploy advanced ML models for various use cases.
• Develop customer segmentation and recommendation engines.
• Automate end-to-end model lifecycle using AWS SageMaker.

Skills

Statistical modelling

Machine learning

Business analytics

Python

SQL

AWS SageMaker

Education

Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or a quantitative discipline

Tools

scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

Job description

Trust Bank is seeking a Senior Data Scientist to tackle complex challenges with a focus on statistical modelling and machine learning. In this role, you will utilize AWS SageMaker and Large Language Models to develop predictive models that enhance customer engagement and drive revenue growth.

The ideal candidate will have over 7 years of data science experience, a Master's or PhD in a quantitative field, and the capability to translate data insights into actionable business strategies.