Data Science Engagement Lead

Shell — SHELL CENTRE – CHENNAI

, 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 is a community of experts partnering with Shell’s business stakeholders to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Science Engagement Lead within the Digital Process Twin (DPT) portfolio, you will lead data scientists and collaborate with cross-functional business teams to identify transformation opportunities using process-centric data and guide the application of process mining, optimization, and AI/ML techniques to improve operational performance. Your work will drive measurable business outcomes by enhancing visibility, agility, and efficiency across Shell’s business operations. The DPT Centre of Excellence (CoE) aims to “Empower Process Transformation through Digital Process Twins” by applying advanced process mining and analytics capabilities. Shell is recognized as an industry leader in process mining, pioneering innovative analytical approaches and advancing the process twin concept. The CoE actively engages with academic partners, industry forums, and technology vendors to drive research, innovation, and thought leadership. If you are passionate about applying data science to process event data to drive organizational process transformation—and value collaboration, innovation, and continuous learning—we invite you to join us as a Data Science Engagement Lead. What you’ll be doing Lead process-mining consulting engagements, translating business challenges into analytical problem statements and actionable insights that drive measurable digital process transformation. Partner with global and regional business stakeholders to uncover inefficiencies, define transformation opportunities, and generate process-analytics use cases aligned with the Integrated Process

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