Shell is hiring for the position of Data Science Analyst in Chennai; Bangalore, India. Candidates with a Bachelor’s or Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Shell |
| Position | Data Science Analyst |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | 0-2 (Years) |
| Location | Chennai; Bangalore, India |
Key Responsibilities:
- Support the preparation, cleansing, and transformation of process event data to enable accurate analysis and modeling.
- Assist in conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies within process data.
- Contribute to the development of data visualizations, dashboards, and reports to effectively communicate insights using tools such as Power BI, Tableau, or Plotly Dash.
- Collaborate with data scientists to design, implement, and validate features and metrics for process performance measurement and predictive models.
- Participate in the development and maintenance of process data models and data pipelines, ensuring data quality, integrity, and consistency.
- Work closely with cross-functional teams to integrate data from multiple enterprise systems, including SAP, Salesforce, and ServiceNow, for comprehensive process analysis.
- Support process mining initiatives by preparing event logs and assisting with analytical activities on platforms such as Celonis EMS or SAP Signavio.
- Contribute to documentation, testing, and quality assurance activities for analytical and reporting deliverables.
- Develop a foundational understanding of Responsible AI and Explainable AI (XAI) principles and practices.
Eligibility Criteria:
- Possess 0–2 years of experience in data analytics or data science, with exposure to data preparation, analysis, and visualization activities.
- Demonstrate a basic understanding of machine learning and statistical techniques applied to structured or event-based data.
- Show proficiency in Python and SQL, along with hands-on experience using data manipulation libraries such as pandas and NumPy.
- Have experience or exposure to data visualization tools and frameworks, including Power BI, Tableau, Plotly Dash, and Matplotlib.
- Be familiar with process event or behavioral data and understand event log structures, including case IDs, activities, and timestamps.
- Bring exposure to process-mining platforms such as Celonis EMS, SAP Signavio, or open-source frameworks like PM4Py and ProM, which is considered an advantage.
- Demonstrate knowledge of data quality principles, ETL concepts, and data pipeline design.
- Show strong interest and enthusiasm for learning AI/ML, process analytics, and MLOps practices in enterprise environments.
- Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative discipline.
- Apply a strong analytical and problem-solving mindset with close attention to detail.
- Demonstrate the ability to learn and apply process-oriented data science and analytical methodologies.
- Have an understanding of feature engineering, data wrangling, and data quality management techniques.
- Possess academic or project-based experience in process simulations or operations research.
- Stay aware of professional data science communities and demonstrate willingness to engage for continuous learning and professional growth.
About Company:
Shell is a global energy company with around 87,000 employees in more than 70 countries. We work together to power progress through more and cleaner energy solutions. We serve more than 30 million customers at almost 46,000 retail service stations every day.
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