Job
Description
Role Overview: As a part of the Digitalisation team at Praxair India Private Limited, your primary responsibility will be to analyze operational data, support digital transformation initiatives, manage key applications, and contribute to AI-driven optimization across global production assets. You will be involved in collecting, cleaning, and analyzing large datasets from industrial operations, working closely with cross-functional teams to identify process improvements, and assisting in the validation of machine learning models for predictive maintenance and anomaly detection. Additionally, you will lead and/or support the maintenance and enhancement of key global applications, visualize data, and present actionable insights to business stakeholders. Your role will also involve building dashboards and reporting tools using platforms like Power BI or Tableau, collaborating with Data Scientists, Process Engineers, and IT teams, and staying abreast of digital trends in process industries to propose innovative improvements. Key Responsibilities: - Analyze operational data and support digital transformation efforts - Manage key applications and contribute to AI-driven optimization - Collect, clean, and analyze large datasets from industrial operations - Collaborate with cross-functional teams to identify process improvements - Validate machine learning models for predictive maintenance and anomaly detection - Lead and/or support the maintenance and enhancement of key global applications - Visualize data and present actionable insights to business stakeholders - Build dashboards and reporting tools using platforms like Power BI or Tableau - Collaborate closely with Data Scientists, Process Engineers, and IT teams - Stay updated on digital trends in process industries to suggest innovative improvements Qualifications Required: - Degree in Chemical Engineering, Process Engineering, or a related field (preferably a master's or PhD) - Minimum of 2 years of experience in industrial operations, process optimization, and data analytics - Experience in the industrial gases sector or process manufacturing is a plus - Proficiency in machine learning, SW applications management and support, Python, Matlab, SQL, and data visualization tools - Strong analytical skills and a solid understanding of industrial processes and KPIs - Excellent communication skills and ability to work in international, cross-functional teams If you are excited about contributing to digital transformation and process optimization in a global industrial environment, we welcome your application before the closing date of 15th August 2025 through our online job market. At Linde, you will have the opportunity to grow your career in a leading global industrial gases and engineering company that is committed to sustainable development, responsible business practices, and customer value. Join us at Linde and become a part of a team that values innovation, sustainability, and excellence.,
