Data Scientist: Predictive Analytics & AI Solutions

COMBUILDER PTE LTD; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

COMBUILDER PTE LTD is seeking a Data Scientist to design, develop, and implement cohesive data integration and advanced analytics solutions. You will work across structured and unstructured data, supporting predictive modelling, forecasting, optimization, text mining and network analytics within regulated/public-sector contexts.

The role involves delivering client engagements, leading workshops, and deploying production models with a focus on explainability, scalability, and security.

Qualifications

• Bachelor's or master's degree in Computer Science, Mathematics, Statistics, Business Analytics or equivalent.
• 1-10 years of data science and analytics experience.
• Experience in data processing, feature selection, hyper-parameter optimization and model validation.
• Experience with AWS SageMaker and related tools (e.g., Python libraries).
• Familiarity with AI/LLM-based solutions and modern data platforms.

Responsibilities

• Apply data analytics methods to deliver client engagements within Data and Analytics practice.
• Develop end-to-end analytics projects from requirements to production deployment.
• Lead workshops translating business needs into analytical specifications.
• Lead or support data requirements and analytics use-cases with stakeholders.
• Prototype, validate and deploy data science models with attention to explainability, fairness, and scalability.
• Contribute to software development processes and maintain documentation.

Skills

Python

SQL

AWS SageMaker

Pandas/NumPy

ETL pipelines

Education

Bachelor's/Master's in CS/Math/Statistics/Analytics or equivalent

Tools

Git

CI/CD

Pyspark

Job description

COMBUILDER PTE LTD is seeking a Data Scientist to design, develop, and implement cohesive data integration and advanced analytics solutions. You will work across structured and unstructured data, supporting predictive modelling, forecasting, optimization, text mining and network analytics within regulated/public-sector contexts.

The role involves delivering client engagements, leading workshops, and deploying production models with a focus on explainability, scalability, and security.