Shell Off Campus 2026 Hiring Fresher For Data Science Analyst | Bangalore
Looking for freshers jobs in Bangalore? Shell has started hiring candidates for the Data Science Analyst role. Interested applicants can explore eligibility, salary package, required skills, and application process below.
The Data Science Analyst role at Shell is suitable for candidates looking to build experience in professional work environments, communication, teamwork, and business operations.
| Company | Shell |
|---|---|
| Category | IT |
| Job Type | Full time |
| Location | Bangalore |
| Experience | Fresher – 2 Year |
| Batch Eligible | Any Graduate |
| Course | Bachelor’s / Master’s Degree |
Shell is a globally recognized energy company operating in more than 70 countries with approximately 87,000 employees worldwide. Shell serves over 30 million customers daily across nearly 46,000 retail service stations.
Shell is committed to powering progress by delivering more and cleaner energy solutions. Beyond traditional energy operations, Shell is increasingly investing in digital transformation, analytics, and advanced technologies to enhance operational efficiency and sustainability. The company actively promotes innovation, research, and responsible use of technology to shape the future of energy and business operations.
Shell is hiring Freshers for the Data Science Analyst role as part of its Digital Process Twin (DPT) portfolio in Bangalore. This role focuses on applying data science methodologies to process event data to support analytical modeling, operational insights, and data-driven decision-making.
As a Data Science Analyst, you will work alongside experienced data scientists, engineers, and process analysts to prepare, analyze, and visualize data. The role contributes to improving business process efficiency and performance through process mining and analytics.
The Digital Process Twin Centre of Excellence (CoE) aims to empower process transformation using digital process twins and advanced process intelligence. Shell is recognized as an industry thought leader in process analytics, collaborating with academic institutions, technology vendors, and industry forums to drive innovation.
This opportunity is ideal for candidates passionate about data science, analytics, and process intelligence.
- As a Data Science Analyst at Shell, your responsibilities will include:
- 🔸 Data Preparation & Transformation
- Support preparation, cleansing, and transformation of process event data
- Maintain high standards of data quality and consistency
- Assist in building and maintaining data models and pipelines
- 🔸 Exploratory Data Analysis (EDA)
- Perform EDA to identify trends, patterns, and anomalies
- Analyze structured and event-based data
- Support development of predictive metrics and performance indicators
- 🔸 Visualization & Reporting
- Create dashboards and reports using tools such as:
- Power BI
- Tableau
- Plotly Dash
- Communicate analytical insights effectively to stakeholders
- 🔸 Process Mining & Analytics
- Prepare event logs for process mining analysis
- Assist in using platforms like Celonis EMS or SAP Signavio
- Support process transformation initiatives
- 🔸 Cross-Functional Collaboration
- Integrate data from enterprise systems such as:
- SAP
- Salesforce
- ServiceNow
- Work with data scientists and engineers to design features and models
- 🔸 Responsible AI & Documentation
- Develop understanding of Responsible AI and Explainable AI concepts
- Contribute to documentation, testing, and quality assurance
- Candidates must meet the following criteria:
- Bachelor’s or Master’s degree in:
- Computer Science
- Data Science
- Engineering
- Mathematics
- Related quantitative field
- 0–2 years of experience in data analytics or data science
- Freshers are eligible to apply
- Strong analytical mindset
- Willingness to work from Bangalore
- 🔧 Technical Skills
- Proficiency in Python and SQL
- Experience with data libraries such as:
- pandas
- NumPy
- Basic understanding of machine learning and statistical concepts
- Knowledge of ETL processes and pipeline design
- 📊 Data Visualization
- Power BI
- Tableau
- Plotly Dash
- Matplotlib / Seaborn
- 🧠 Process Mining & Analytics
- Familiarity with event logs (case IDs, activities, timestamps)
- Exposure to platforms such as:
- Celonis EMS
- SAP Signavio
- PM4Py
- ProM
- 💡 Analytical & Professional Skills
- Strong problem-solving mindset
- Attention to detail
- Ability to interpret process-oriented data
- Interest in AI/ML and enterprise analytics
- Willingness to learn MLOps practices
✔ Verified & Updated by JobOffCampus Editorial Team
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