Industrial Data Scientist: Predictive Maintenance

CAPGEMINI SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

CAPGEMINI SINGAPORE PTE. LTD. is seeking a seasoned Data Scientist to analyze manufacturing data, build predictive models, and deploy data-driven solutions for process optimization.

You will work with Seeq for time-series analytics and collaborate with plant, engineering, and operations teams to translate real-world challenges into analytics. The role emphasizes data pipelines, model monitoring, governance, and delivering actionable insights through dashboards and reports to drive operational

Qualifications

• 6+ years of experience in Data Science and Advanced Analytics.
• Hands-on experience in manufacturing, industrial, or plant environments.
• Strong working knowledge of Seeq for time-series analysis, including both Seeq Workbench and Seeq Data Lab.

Responsibilities

• Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities.
• Develop and deploy machine learning models for predictive maintenance, process efficiency, and quality/yield optimization.
• Collaborate with plant, engineering, and operations teams to translate requirements into data science solutions.
• Build and maintain data pipelines, analytical datasets, and workflows.
• Monitor, evaluate, and improve model performance in production environments.
• Present insights through dashboards, reports, and stakeholder discussions.
• Ensure data quality, reliability, and governance across data sources.
• Drive data-driven decision-making across plant operations.

Skills

Data Science

Advanced Analytics

Time-series analytics

Seeq

Seeq Workbench

Seeq Data Lab

Python

Pandas

NumPy

Scikit-learn

SQL

Machine Learning

Anomaly detection

Predictive modeling

Root-cause analysis

Data pipelines

Tools

Seeq (Workbench/Data Lab)

Job description

CAPGEMINI SINGAPORE PTE. LTD. is seeking a seasoned Data Scientist to analyze manufacturing data, build predictive models, and deploy data-driven solutions for process optimization.

You will work with Seeq for time-series analytics and collaborate with plant, engineering, and operations teams to translate real-world challenges into analytics. The role emphasizes data pipelines, model monitoring, governance, and delivering actionable insights through dashboards and reports to drive operational