Must-Have Skills / Requirements6+ years of experience in Data Science / Advanced AnalyticsHands-on experience in manufacturing / industrial / plant environmentsStrong 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 SQLStrong understanding of: Machine Learning (regression, anomaly detection, predictive models)Statistical modeling and hypothesis-driven analysisTime-series / sensor data analyticsExperience building and deploying predictive models for: Predictive maintenanceProcess optimizationQuality and yield improvementAbility to work with sensor data, process data, and operational datasetsStrong analytical thinking, troubleshooting, and root-cause analysis capability Good-to-Have SkillsExperience in industries such as: Oil & Gas, Chemicals, ManufacturingKnowledge of MLOps (model deployment, monitoring, pipelines)Exposure to optimization techniques for industrial processesExposure to cloud platforms (Azure / AWS / GCP)Familiarity with data visualization tools, real-time / streaming data analytics, data engineering (ETL / data pipelines / data lakes) Roles & ResponsibilitiesAnalyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunitiesUse Seeq platform for:Time-series analysisRoot cause investigationProcess monitoring and visualizationDevelop and deploy machine learning models for:Predictive maintenanceProcess efficiency improvementQuality / yield optimizationWork closely with plant, engineering, and operations teams to understand real-world process issuesTranslate business and operational challenges into data science solutionsBuild and maintain data pipelines, analytical datasets, and workflowsMonitor, evaluate, and continuously improve model performance in productionPresent actionable insights through dashboards, reports, and stakeholder discussionsEnsure data quality, reliability, and governance across manufacturing data sourcesDrive adoption of data-driven decision-making across plant operations
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
Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.
Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.
We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.
Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.
Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.
Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions.
Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.
We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential.
At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.
Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.
