jobs in REGTECH INSIGHT PTE. LTD.

Full Time Data Scientist Jobs, Salary up to SGD 7,000 in REGTECH INSIGHT PTE. LTD. Central Region (Singapore) - Maukerja

Data Scientist

REGTECH INSIGHT PTE. LTD.

Central Region (Singapore)

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Working Location

  • 8 EU TONG SEN STREET Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Summary

Analyze manufacturing plant and process data to deliver data-driven solutions that optimize operations. Develop and deploy machine learning models using Seeq and Python, collaborating with cross-functional teams to improve predictive maintenance, process efficiency, and quality outcomes.

Responsibilities

  • Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities
  • Perform time-series analysis, root cause investigation, and process monitoring using the Seeq platform (Workbench and Data Lab)
  • Develop and deploy machine learning models for predictive maintenance, process efficiency improvement, and quality/yield optimization
  • Collaborate with plant, engineering, and operations teams to translate business challenges into data science solutions
  • Build and maintain data pipelines, analytical datasets, and workflows to support operational analytics
  • Monitor, evaluate, and continuously improve model performance in production environments
  • Present actionable insights through dashboards, reports, and stakeholder discussions to drive informed decision-making
  • Ensure data quality, reliability, and governance across manufacturing data sources
  • Promote adoption of data-driven decision-making across plant operations

Preferred competencies and qualifications

  • Experience in industries such as Oil & Gas, Chemicals, and Manufacturing
  • Knowledge of MLOps including model deployment, monitoring, and pipeline management
  • Exposure to optimization techniques for industrial processes
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Experience with data visualization tools, real-time/streaming data analytics, and data engineering (ETL, data pipelines, data lakes)

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