Job
Description
Bangalore, Karnataka, India
Reference Code
req24425
Company
Praxair India Private Limited
Business Area
Digitalisation
Job Type
Regular / Permanent / Unlimited / FTE
Working Scheme
On-Site
It's about Being What's next. What's in it for you?
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At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.
Making an impact. What will you do?
In this role, you will focus on analyzing operational data, supporting digital transformation, manage key applications, and contributing to AI-driven optimization across Linde’s global production assets
You will collect, clean, and analyze large datasets from industrial operations (process data, maintenance logs, etc.)
Further, you will work with cross-functional teams to identify opportunities for process improvements and operational efficiencies
Part of the role is also supporting the validation of machine learning models for predictive maintenance, energy optimization, and anomaly detection
You will lead and/or support the maintenance and improvement of key global applications as well as visualize data and present actionable insights to business stakeholders
You also assist in building dashboards and reporting tools using platforms like Power BI or Tableau
Collaborating closely with Data Scientists, Process Engineers, and IT teams to operationalize data-driven solutions is part of your role as well as staying updated on digital trends in process industries and suggest innovative improvements
Why you will love working for us!
Linde is a leading global industrial gases and engineering company with 2024 sales of $33 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain, decarbonize and protect our planet.
The company serves a variety of end markets such as chemicals & energy, food & beverage, electronics, healthcare, manufacturing, metals and mining. Linde's industrial gases and technologies are used in countless applications including production of clean hydrogen and carbon capture systems critical to the energy transition, life-saving medical oxygen and high-purity & specialty gases for electronics. Linde also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements and emissions reductions.
Linde employees learn and abide the Linde Code of Ethics and Code of Conduct by demonstrating honesty, integrity, professionalism in all communications, actions, and decisions.
Have we inspired you? Let's talk about it!
We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.
Application closing date: 15th August 2025
Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.
Linde acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.
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Winning in your role. Do you have what it takes?
You have a degree in Chemical Engineering, Process Engineering, or a related field, master or PhD would be preferred.
In addition, you bring min 2 years of experience in industrial operations, process optimization, and data analytics.
Experience in the industrial gases sector or process manufacturing would be a plus.
You possess a foundational experience in machine learning, as well as experience in managing and supporting SW applications, in Python, Matlab and SQL for data analysis and with data visualization tools (Power BI, Tableau, Grafana, etc.)
Strong analytical skills and experience working with large datasets are also part of your profile as well as a solid understanding of industrial processes and KPIs
You have excellent communication skills and ability to work in international, cross-functional teams
