Shell is inviting applications for the position of Data Science Analyst at its Chennai and Bangalore offices. This is a full-time opportunity for candidates who want to work on real-world process analytics, process mining, and data-driven transformation. If you’re passionate about data, process intelligence, and analytical modeling, this role offers exposure to industry-leading technologies and global teams within Shell’s Digital Process Twin (DPT) Centre of Excellence.
About the Company
Shell is one of the world’s largest energy companies, leading innovation in sustainable energy, digital transformation, and process excellence. The Commercial Data Science (CDS) team at Shell collaborates across business units to enable smarter decision-making using data, AI, and advanced analytics. Shell’s workplace is known for diversity, inclusion, professional growth, and continuous learning, making it an excellent environment for early-career data professionals.
Role Overview
As a Data Science Analyst, you will support Shell’s process-analytics projects by preparing, analyzing, and visualizing event-based process data. You will work with experienced data scientists and engineers to support modeling, process insights, data pipelines, and process mining initiatives using tools like Python, SQL, Power BI, Celonis, and SAP Signavio. This role is ideal for freshers and early-career professionals looking to grow in data analytics and process intelligence.
Responsibilities
- Prepare, clean, and transform process event data for analysis
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
- Build dashboards and reports using Power BI, Tableau, Plotly Dash, or similar tools
- Support feature design and testing for process-performance models
- Assist in building and maintaining process data pipelines
- Integrate data from enterprise systems such as SAP, Salesforce, and ServiceNow
- Support process-mining work using Celonis EMS, SAP Signavio, or PM4Py
- Contribute to documentation, testing, and quality assurance
- Learn and apply concepts of Responsible AI and Explainable AI
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Who Can Apply
| Eligibility Criteria | Details |
|---|---|
| Experience | 0–2 years (freshers eligible) |
| Education | BE/BTech, BSc, MSc, MCA, MTech in CS, Data Science, Engineering, Math, or related fields |
| Skills | Python, SQL, Data Analysis, Visualization Tools |
| Preferred | Experience with process mining, SAP Signavio, Celonis, ETL, pipelines |
Preferred Skills
- Strong Python and SQL knowledge
- Understanding of machine learning basics
- Experience with Power BI, Tableau, Plotly Dash
- Familiarity with event logs (case ID, activity, timestamp)
- Knowledge of ETL, data quality, process models
- Exposure to Celonis EMS, SAP Signavio, PM4Py, or ProM
- Analytical thinking and attention to detail
- Eagerness to learn AI/ML, process analytics, and MLOps
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What You’ll Get
- Opportunity to work with a global team of expert data scientists and engineers
- Hands-on experience in advanced process analytics and process mining
- Learning resources, technical training, and mentorship
- Exposure to cutting-edge digital transformation technologies
- A diverse, inclusive, and supportive work environment
- Growth opportunities in national and international teams
How to Apply
To apply, click the button below and submit your application.
Before applying, make sure you:
- Prepare a clear and well-structured resume highlighting Python, SQL, visualization skills, and any academic or personal data projects
- Mention coursework or certifications in Data Science, Analytics, Machine Learning, or Process Mining
- Include GitHub or project links showcasing dashboards, ML models, or data analysis work
- Practice explaining your projects and EDA insights clearly, as Shell values problem-solving and analytical thinking
- Highlight any experience with SAP, process logs, pipelines, or ETL workflows
Once ready, apply by clicking the button below and submit your details for Shell’s recruitment team to review.
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