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.
What you’ll be doing
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.
What you bring
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
We would also like to see the following:
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)