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Shell Data Science Analyst Jobs 2026 | Chennai & Bangalore | Early Careers Role

Shell is hiring a Data Science Analyst for its Commercial Data Science (CDS) team under the Digital Process Twin (DPT) portfolio. This is a full-time role based in Chennai (Shell Centre) and Bangalore (RMZ Eco World), designed for early-career professionals with 0–2 years of experience in data analytics or data science.

This role offers hands-on exposure to process mining, data science, analytics, and enterprise systems, supporting Shell’s global digital process transformation initiatives.


Quick Job Overview – Shell Data Science Analyst

CategoryDetails
CompanyShell
Job RoleData Science Analyst
Job Requisition IDR194405
Experience LevelEarly Careers (0–2 Years)
LocationChennai & Bangalore
Work ModelOn-site
Employment TypeFull Time
IndustryEnergy / Digital & Analytics
DepartmentFinance (Commercial Data Science)
Role CategoryData Science / Analytics
Posting DateJanuary 8, 2026

Eligibility Criteria

Educational QualificationEligible Batches
Bachelor’s / Master’s Degree (CS, Data Science, Engineering, Mathematics or related)2022, 2023, 2024, 2025

Role Overview – Data Science Analyst at Shell

As a Data Science Analyst, you will work within Shell’s Digital Process Twin Centre of Excellence, applying data science techniques to process event data. You’ll collaborate with experienced data scientists, engineers, and process analysts to generate insights that improve business process efficiency, performance, and decision-making.

This role is ideal for candidates passionate about analytics, process mining, visualization, and enterprise data science.


Key Responsibilities

  • Prepare, cleanse, and transform process event data for analysis
  • Perform exploratory data analysis (EDA) to identify trends and anomalies
  • Create dashboards and reports using tools like Power BI, Tableau, or Plotly
  • Support feature design for process performance and prediction models
  • Assist in building and maintaining data models and pipelines
  • Integrate data from enterprise systems such as SAP, Salesforce, and ServiceNow
  • Support process mining initiatives using tools like Celonis or SAP Signavio
  • Contribute to documentation, testing, and quality assurance
  • Develop foundational understanding of Responsible AI and Explainable AI (XAI)

Skills & Requirements

  • 0–2 years experience in data analytics or data science
  • Strong knowledge of Python and SQL
  • Experience with pandas, NumPy, and data manipulation
  • Exposure to data visualization tools (Power BI, Tableau, Plotly, Matplotlib)
  • Basic understanding of machine learning or statistical techniques
  • Familiarity with event-based or process data is a plus
  • Exposure to Celonis, SAP Signavio, or PM4Py is an advantage
  • Strong analytical mindset and attention to detail
  • Willingness to learn enterprise-scale analytics and MLOps concepts

Why Join Shell?

Shell offers a values-led, inclusive work culture with access to world-class learning, global exposure, and cutting-edge analytics projects. You’ll work at the intersection of data science, digital innovation, and energy transition, contributing to Shell’s net-zero vision while building transferable skills for the future.


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FAQs – Shell Data Science Analyst

1. Is this role suitable for freshers?
Yes. This is an early-career role open to candidates with 0–2 years of experience.

2. Is this a pure data science role or business analytics role?
It is a data science role focused on process analytics, event data, and modeling.

3. Which programming languages are required?
Python and SQL are mandatory.

4. Is process mining experience mandatory?
No. Exposure is an advantage, but learning will be provided on the job.

5. Is there any application or recruitment fee?
No. Shell never charges any fee during recruitment.

Experience
0 - 2
Work Level
Experienced, Fresher
Employment Type
Full Time, Onsite
Salary
9.8 - 25 LPA
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