Data Scientist

Shell — Chennai - RMZ Millenia

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: July 6, 2026 Business Unit: Finance Experience Level: Experienced Professionals Job Description: What’s the role The Commercial Data Science (CDS) team partners with Shell’s business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance. You will collaborate closely with engineers, architects, and fellow data scientists to design scalable analytical solutions and integrate them into Shell’s process-mining ecosystem. The Digital Process Twin Centre of Excellence (CoE) aims to “Empower Process Transformation through Digital Process Twins” by advancing process-mining and analytics capabilities. Shell is recognized as an industry thought leader in process intelligence, pioneering innovative analytical methodologies and data-driven process transformation. The CoE collaborates with academic institutions, industry forums, and technology vendors to drive innovation and applied research in process analytics. If you are passionate about building advanced analytical models using process event data and developing intelligent solutions that enhance operational agility and enable autonomous processes, we invite you to join us as a Data Scientist contributing to Shell’s digital process transformation journey. What you’ll be doing Develop, and implement machine learning and optimization models using process event data to predict, classify, and enhance business-process performance. Apply process-mining and AI/ML techniques to discover process patterns, identify root causes, and quantify improvement opportunities. Implement and maintain process data models — integrating and transforming data fro

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