Shell New Hiring Drive – Data Science Analyst Role

Shell New Hiring Drive: The Data Science Analyst role provides an interface to Shell’s Commercial Data Science (CDS) team, working closely with business interfaces and delivering meaningful data solutions. We are a member of the Digital Process Twin (DPT) portfolio and support this by converting complex process events into valuable information to improve business operations and processes.

Role Overview

• Job Title: Data Science Analyst – Shell India
• Locations: Shell Centre – Chennai | RMZ Eco World – Bangalore
• Employment Type: Full Time
• Experience Level: Early Careers (0–2 years)
• Requisition ID: R190562

Key Responsibilities

• Support the preparation, cleansing, and transformation of process event data for advanced analytical models.
• Perform EDA exploratory data analysis to identify patterns, trends, and abnormalities in processes.
• Produce meaningful visualisations, dashboards and reports through tools – Power BI/ Tableau / Plotly Dash.
• Support development and testing of analytical features, KPIs and metrics in predictive process models.
• Contribute to building & maintaining process data models and data pipelines for good quality and consistency.
• Work with teams across the organisation to ingest data from enterprise applications such as SAP, Salesforce, and ServiceNow.
• Contribute to process mining with tools like Celonis EMS or SAP Signavio.
• Assist in test, documentation and validation of analytical deliverables.
• Gain a foundational knowledge of Responsible AI and Explainable AI (XAI) in your data science projects.

Candidate Profile

• 0 – 2 years working experience in hands-on data analysis, process analytics and/or data science roles.
• Strong Python and SQL data processing/transformation.
• Familiarity with data science, machine learning/predictive modelling approaches for structured or event-based data.
• A history with Python data libraries like pandas, NumPy, and scikit-learn.
• Familiarity with data visualisation toolkits such as Tableau, Power BI, Matplotlib / Seaborn.
• Experience with process event or behavioural data, such as event logs and components of process mapping (case IDs, timestamps, activities).
• Desirable experience in process mining tools, e.g. cEmb As is or with Celonis EMS, SAP Signavio or open source PM4Py.
• Experience in data quality, ETL and feature engineering.
• Ability to think analytically and detail-oriented, with problem-solving skills.
• Keen interest to learn and implementing advanced data science, process analytics and MLOps in an enterprise context.
• Degree in Computer Science, Data Science, Engineering, Mathematics, or other relevant quantitative fields (Bachelor’s or Master’s level)

Application Details

Applicants who are interested in growing their careers in the areas of data analytics, process optimisation and digital transformation can submit applications via Shell’s official career portal with reference to Job ID: R190562.

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