Data Intern

About the Role

Data Intern will support the U.S. Direct Tax team in building a structured and governed Tax Data Landscape across Federal and State processes. This role will focus on documenting ongoing tax data flows to prepare for advanced analytics and AI/GenAI applications, forming a critical part of Shell’s Digital Finance and Tax transformation agenda.

Responsibilities

• Identify and document tax-relevant data sources across enterprise systems (SAP, tax tools, data platforms, Excel-based models).
• Document and develop Tax Data Inventory and review metadata repository.
• Map end-to-end data lineage and flows (ERP → adjustments → provision → filings).
• Create process maps and data flow diagrams for key tax adjustments and processes.
• Support the development of a standardized Tax Data Model and taxonomy.
• Analyze and document data quality issues; propose validation rules and controls.
• Prepare structured datasets and documentation to support AI/GenAI use cases (e.g., automation, knowledge bases).
• Collaborate with US MDT Tax team members, Finance, and IT stakeholders to gather requirements and validate outputs.

Requirements

• Currently pursuing a degree in:
  • Data Analytics/Data Science
  • Information Systems/Computer Science
• Strong Excel skills; familiarity with Power BI or Tableau.
• Basic knowledge of SQL, Python, and data modeling concepts.
• Understanding of data structures, databases, and ETL processes.
• Exposure to SAP or enterprise systems is a plus.
• Interest in AI/GenAI and data-driven transformation.
• Familiarity with data governance or data cataloging concepts.
• An Indian Citizen or Permanent Resident.
• Effective communication, presentation, and interpersonal skills.
• Curiosity on the process, showcasing a learner mindset.

What We Offer

• Hands-on experience in Shell’s Finance & Tax digital transformation.
• Exposure to enterprise data environments and SAP systems.
• Opportunity to work on AI/GenAI-enabled tax use cases.
• Cross-functional collaboration across Tax, Finance, and Technology teams.
• Location: Primarily in Chennai but can be situated in Bangalore as well.
• Duration: 3–6 months (extendable).
• Working Model: Hybrid 3 days work week from office location (subject to local policy).