Key Responsibilities

- Analyze manufacturing processes, energy consumption patterns, and operational constraints to identify optimization opportunities.
- Develop and enhance predictive, prescriptive, and optimization models focused on reducing energy consumption and improving operational efficiency.
- Leverage PI Historian (AVEVA PI System) and other manufacturing data sources to generate actionable insights and recommendations.
- Define modeling strategies based on business objectives, process understanding, and site-specific operating conditions.
- Build analytical frameworks that can be replicated and adapted across different manufacturing facilities.
- Partner with business stakeholders, process engineers, and operations teams to drive adoption and value realization.
- Conduct root cause analysis and identify key operating parameters influencing energy performance.
- Monitor model performance and continuously improve solution accuracy, scalability, and business impact.
- Communicate complex analytical findings to both technical and non-technical stakeholders.

Required Qualifications

- 10+ years of experience in Data Science, Advanced Analytics,



or AI within manufacturing environments.
- Proven experience working with PI Historian (OSIsoft/AVEVA PI System) and industrial time-series data.
- Solid experience developing optimization models for manufacturing operations, with a focus on energy efficiency and sustainability use cases.
- Demonstrated ability to understand business problems and translate them into effective analytical and modeling solutions.
- Experience working directly with manufacturing operations, process engineers, and business stakeholders.

Technical Skills

- Machine Learning and Advanced Analytics, Statistical Modeling and Predictive Analytics, Optimization Techniques and Prescriptive Analytics
- Python, SQL, Databricks and Azure
- Industrial Data Analytics and Process Monitoring
- Root Cause Analysis and Process Optimization

Preferred Experience

- Exposure to sustainability, decarbonization, and energy management initiatives will be added advantage.
- Experience working within cross-functional business, engineering, and analytics teams.

📌 Data Scientist (India)
🏢 Iyan Cloud Tamilnadu
📍 India