Shell has announced its latest Shell Recruitment 2025 drive, offering an excellent opportunity for early-career professionals and fresh graduates to step into the world of data analytics and digital transformation. The company is hiring Data Science Analysts for its Chennai and Bangalore offices, making this a valuable opening for candidates looking to build a strong foundation in data science, process analytics, and enterprise-level digital solutions.
Shell Recruitment 2025
| Category | Details |
|---|---|
| Company Name | Shell |
| Job Role | Data Science Analyst |
| Qualification | Bachelor’s/Master’s in CS, Data Science, Engineering, Mathematics, or related fields |
| Experience Required | 0–2 Years |
| Job Location | Chennai (Shell Centre), Bangalore (RMZ EcoWorld) |
| Salary | Expected ₹6 LPA – ₹12 LPA |
Job Overview
The current opening for Data Science Analyst is part of Shell’s Commercial Data Science (CDS) team under the Digital Process Twin (DPT) portfolio. This team collaborates with multiple business units to deliver data-driven solutions by applying analytics, modeling techniques, and process-engineering insights.
The position is perfect for freshers and early-career candidates with 0–2 years of experience. As a Data Science Analyst, you will learn how process event data is used to reveal operational inefficiencies, forecast performance, and support decision-making in large-scale enterprise environments.

Key Responsibilities
As part of Shell’s DPT portfolio, your role will include a blend of exploratory analysis, data engineering, and process-oriented analytics. Key responsibilities include:
- Preparing, cleansing, and transforming process event data for analysis and modeling.
- Conducting EDA (Exploratory Data Analysis) to identify patterns, anomalies, and performance bottlenecks.
- Developing data visualizations, dashboards, and analytical reports using tools such as Power BI, Tableau, or Plotly Dash.
- Supporting data scientists in creating features and metrics for predictive models.
- Collaborating with engineering and process teams to maintain data pipelines and ensure high-quality datasets.
- Integrating data from enterprise systems including SAP, Salesforce, and ServiceNow.
- Working on process mining initiatives using Celonis EMS, SAP Signavio, or similar tools.
- Participating in documentation, testing, and quality assurance activities.
- Developing awareness of Responsible AI and Explainable AI (XAI) principles.
This role gives you hands-on exposure to real-world data projects, enterprise-scale systems, and modern analytical frameworks.
Skills Required
The role is designed for early-career professionals with foundational skills and strong learning potential. Desired qualifications and skills include:
- Working knowledge of Python, SQL, and libraries such as pandas and NumPy.
- Basic understanding of machine learning models, statistical methods, and predictive analytics.
- Experience or academic exposure to data visualization tools like Power BI, Tableau, or Matplotlib.
- Understanding of event-based data, process logs, and process mining architecture.
- Familiarity with ETL concepts, data pipelines, and data quality frameworks.
- Strong analytical, problem-solving, and critical-thinking abilities.
- Enthusiasm to learn advanced concepts in AI/ML, MLOps, and process analytics.
- Exposure to Celonis EMS, SAP Signavio, or PM4Py is an added advantage.
This makes the job an ideal fit for candidates looking for a structured pathway into data science roles within global organizations.
Why Join Shell
Shell offers one of the most comprehensive early-career development environments in the energy and technology sector. Joining Shell as a Data Science Analyst will allow you to:
- Work alongside highly experienced data scientists, engineers, and domain experts.
- Gain access to global training programs, certifications, and mentorship.
- Participate in cutting-edge initiatives in process intelligence, digital transformation, and analytics.
- Work in a values-driven culture based on honesty, integrity, and respect.
- Grow in a workplace that genuinely embraces diversity, inclusion, and equal opportunities for all employees.
- Contribute to Shell’s long-term mission to lead India’s transition toward cleaner energy.
Shell’s focus on inclusive work culture ensures that candidates of all backgrounds—across gender, ability, ethnicity, and orientation—are encouraged to apply and thrive.
Salary Details
Shell has not publicly disclosed the salary range for this role, but the company is known for offering competitive compensation packages, robust benefits, learning allowances, and opportunities for long-term career advancement.
Freshers joining through this off campus drive can expect one of the best industry-standard packages in the data analytics domain.
Hiring Locations
This Shell off campus drive 2025 is hiring Data Science Analysts for:
- Shell Centre – Chennai
- Bangalore – RMZ EcoWorld
Both locations are key capability centres with advanced digital and analytics facilities, offering a dynamic and collaborative workplace.
How to Apply
Interested candidates can apply directly through the official Shell Careers portal. Ensure that you provide accurate information, updated resumes, and required documents. Shell follows a transparent hiring process and does not charge any application fees at any stage.
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About Shell
Shell is one of the world’s leading energy companies, well-known for driving innovation across the integrated energy ecosystem. In India, Shell employs over 13,000 professionals and has strong operations spanning Integrated Gas, Downstream, Renewable Energy, Digitalisation, and R&D. The company’s long-term vision, Powering Progress, is built around delivering cleaner energy solutions while contributing to India’s transition toward a net-zero future.
Shell’s capability centres in Bangalore and Chennai play a crucial role in the company’s global technology and digital advancement. These centres function as hubs for data science, finance, automation, innovation, and process optimisation—making them ideal environments for aspiring data professionals.



