This role requires a strong understanding of manufacturing processes, energy systems, industrial time-series data, and advanced analytics. The successful candidate will work closely with process engineers, mill leadership, energy managers, and internal data scientists to drive adoption of AI-powered optimization recommendations across Kimberly-Clark's manufacturing network.Role & Responsibilities :- Collaborate with clients internal Data Science team to scale and deploy Energy Optimization AI solutions across multiple mills.- Analyse 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 modelling 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.Preferred candidate profile :- Bachelor's or Master's degree in Data Science, Engineering, Statistics, Applied Mathematics, or a related field.- 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. (ref:hirist.tech)

📌 Senior Data Scientist - Aveva PI System (Hyderabad)
🏢 Navayuvabharat Infotech
📍 Hyderabad