Unison Group

Builds financial risk and compliance systems

Data Scientist - Manufacturing Analytics

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

At least 6 years of experience in data science or advanced analytics.
Hands-on experience in manufacturing, industrial, or plant environments.
Strong working knowledge of Seeq for time-series analysis, including Seeq Workbench and Data Lab using the Seeq Spy library.
Proficiency in Python, including Pandas, NumPy, and Scikit-learn, and SQL.
Understanding of machine learning methods including regression, anomaly detection, and predictive models.
Understanding of statistical modeling and hypothesis-driven analysis.
Understanding of time-series and sensor data analytics.
Experience building and deploying predictive models for predictive maintenance, process optimization, and quality and yield improvement.
Ability to work with sensor data, process data, and operational datasets.
Strong analytical thinking, troubleshooting, and root-cause analysis capability.

Responsibilities

Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities.
Use Seeq for time-series analysis, root-cause investigation, process monitoring, and visualization.
Develop and deploy machine-learning models for predictive maintenance, process efficiency improvement, and quality and yield optimization.
Work with plant, engineering, and operations teams to understand real-world process issues.
Translate business and operational challenges into data science solutions.
Build and maintain data pipelines, analytical datasets, and workflows.
Monitor, evaluate, and continuously improve model performance in production.
Present actionable insights through dashboards, reports, and stakeholder discussions.
Ensure data quality, reliability, and governance across manufacturing data sources.
Drive adoption of data-driven decision-making across plant operations.

Desired Qualifications

Experience in industries such as oil and gas, chemicals, or manufacturing.
Knowledge of MLOps, including model deployment, monitoring, and pipelines.
Exposure to optimization techniques for industrial processes.
Exposure to cloud platforms such as Azure, AWS, or GCP.
Familiarity with data visualization tools, real-time or streaming data analytics, and data engineering, including ETL, data pipelines, and data lakes.

Data Scientist - Manufacturing Analytics

Unison Group · Singapore, Singapore · Contract · Posted 2026-10-20

Workplace: on_site

Department: Manish

Description

Must-Have Skills / Requirements

6+ years of experience in Data Science / Advanced Analytics
Hands-on experience in manufacturing / industrial / plant environments
Strong working knowledge of Seeq (industrial analytics platform) for time-series analysis, including both Seeq Workbench and Data Lab (using the seeq spy library).
Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
Strong understanding of:
Machine Learning (regression, anomaly detection, predictive models)
Statistical modeling and hypothesis-driven analysis
Time-series / sensor data analytics
Experience building and deploying predictive models for:
Predictive maintenance
Process optimization
Quality and yield improvement
Ability to work with sensor data, process data, and operational datasets
Strong analytical thinking, troubleshooting, and root-cause analysis capability

Good-to-Have Skills

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

Roles & Responsibilities

Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities
Use Seeq platform for:
Time-series analysis
Root cause investigation
Process monitoring and visualization
Develop and deploy machine learning models for:
Predictive maintenance
Process efficiency improvement
Quality / yield optimization
Work closely with plant, engineering, and operations teams to understand real-world process issues
Translate business and operational challenges into data science solutions
Build and maintain data pipelines, analytical datasets, and workflows
Monitor, evaluate, and continuously improve model performance in production
Present actionable insights through dashboards, reports, and stakeholder discussions
Ensure data quality, reliability, and governance across manufacturing data sources
Drive adoption of data-driven decision-making across plant operations

Apply

Apply at Unison Group

About the Company

Unison Group

Builds financial risk and compliance systems

Unison Group builds technology systems for financial institutions that need to manage risk, meet reporting rules and modernize their operations. Its consultants work across liquidity, market and credit risk, combining financial knowledge with software implementation and data analysis. The business also designs cloud infrastructure and develops custom applications, connecting these systems with the information and processes clients already use. It earns money through consulting, technology implementation and engineering services for enterprises, with work ranging from system design to deployment. Founded as Unison Consulting in 2012, the group is headquartered in Singapore.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2012

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