Data Scientist — AI-Driven Digital Transformation

Zenith Infotech Pte Ltd.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Zenith Infotech Pte Ltd. is seeking a data science professional to design, develop, and deploy data science products including dashboards, reports, and ML models in an agile setting.

You will engage stakeholders to translate business questions into analytical hypotheses and drive end-to-end analytics from data audits to model deployment. Responsibilities include building data pipelines, feature engineering, model training and evaluation, and delivering interactive dashboards using Qlik Sense,

Qualifications

• Proven track record translating business problems into analytical solutions with measurable impact.
• Strong hands-on experience in ML, statistical modelling, and data mining on large datasets.
• Strong knowledge of data warehousing, data modelling, and ETL concepts.
• Must be able to obtain security clearance due to project sensitivity.

Responsibilities

• Design, develop, and deploy data science products—dashboards, reports, and ML models.
• Engage stakeholders to translate business questions into analytical hypotheses.
• Perform data audits, EDA, and feasibility assessments for AI/ML use cases.
• Develop data pipelines and databases to support analytics and ML.
• Build, train, validate, and deploy ML models on large datasets.
• Develop dashboards and storytelling using Qlik Sense / Power BI / Tableau.
• Optimize model/data pipeline performance and troubleshoot issues.
• Conduct code reviews, model validation, and user acceptance testing.
• Support technical refreshes, retraining, migration, and regression testing.
• Conduct user training and product demonstrations.

Skills

Python

SQL

Data visualization

ETL

Cloud platforms

Machine learning

Tools

Informatica

Talend

Job description

Zenith Infotech Pte Ltd. is seeking a data science professional to design, develop, and deploy data science products including dashboards, reports, and ML models in an agile setting.

You will engage stakeholders to translate business questions into analytical hypotheses and drive end-to-end analytics from data audits to model deployment. Responsibilities include building data pipelines, feature engineering, model training and evaluation, and delivering interactive dashboards using Qlik Sense,