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🚀 Shell Hiring: Data Science Analyst – Chennai & Bangalore | Early Careers

Shell is inviting passionate early-career data professionals to join its Commercial Data Science (CDS) team as a Data Science Analyst. If you’re excited about process mining, analytics, and data-driven transformation in one of the world’s most innovative energy companies, this role is your entryway into an impactful global career.

🌍 About Shell

Shell is a world-leading diversified energy organization with operations across Integrated Gas, Renewables, Upstream, Downstream, Power, and Digital Solutions. With 13,000+ employees in India, Shell continues to pioneer energy innovation, sustainability, and digital transformation.

Its mission, Powering Progress, aims to deliver cleaner energy solutions while transitioning toward a net-zero emissions goal by 2050, aligning with India’s vision for a sustainable future.

Shell India operates world-class capability centers in Bangalore and Chennai, serving as global hubs for data science, digitalization, engineering, and finance.

📌 Role: Data Science Analyst

📍 Location: Chennai / Bangalore
💼 Job Type: Full Time
🏢 Work Mode: On-site
🎓 Experience: 0–2 Years
🎯 Job Family: Research & Development
🧠 Business Unit: Finance – Digital Process Twin (DPT)
📝 Job ID: R190562
✨ Posted: December 1, 2025

🔎 About the Role

As a Data Science Analyst in Shell’s Digital Process Twin (DPT) Centre of Excellence, you will support Shell’s global process transformation initiatives by analyzing event logs, building process intelligence models, and generating actionable insights.

You will collaborate closely with data scientists, engineers, analysts, and business teams to deliver high-quality, data-driven solutions that improve efficiency, visibility, and process performance across Shell’s operations.

🧩 What You’ll Be Doing

Data Preparation & Analysis

  • Support data cleaning, transformation, and preparation of process event logs.

  • Perform exploratory data analysis (EDA) to identify patterns, trends, and bottlenecks.

  • Work with multiple enterprise systems like SAP, Salesforce, ServiceNow to integrate and analyze process data.

Process Mining & Modeling

  • Assist in process-mining initiatives using Celonis EMS, SAP Signavio, or PM4Py.

  • Prepare and structure data for process simulations and performance dashboards.

  • Contribute to feature engineering and analytical modeling under guidance from senior data scientists.

Visualization & Reporting

  • Build dashboards and visual reports using Power BI, Tableau, Plotly Dash, or Matplotlib.

  • Communicate insights clearly to technical and business stakeholders.

Operational Support

  • Participate in data pipeline development, ensuring consistency and quality.

  • Support documentation, test scenarios, and validation of analytics deliverables.

AI/ML & Responsible AI Exposure

  • Learn concepts of Explainable AI (XAI) and Responsible AI frameworks used across Shell.

  • Gain hands-on understanding of predictive modeling foundations.

🎓 What They’re Looking For

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related fields.

  • 0–2 years of experience in data analytics or data science projects.

  • Proficiency in Python, SQL, and libraries like pandas, NumPy.

  • Ability to perform data analysis, wrangling, and visualization.

Preferred Skills

  • Understanding of machine learning, predictive modeling, or statistics.

  • Experience with process event data, timestamps, and log structures.

  • Knowledge of process-mining tools (Celonis / Signavio / PM4Py).

  • Exposure to ETL, data pipelines, or enterprise systems.

  • Analytical mindset with strong problem-solving abilities.

  • Familiarity with visualization tools (Power BI / Tableau / Plotly Dash).

💼 Why Join Shell

Working at Shell gives you:

  • Opportunities to contribute to the energy transition and sustainability innovation.

  • Collaboration with world-class engineers, data scientists, and domain experts.

  • Access to strong learning, development, and certification programs.

  • A diverse, inclusive, and values-driven workplace culture.

  • Exposure to cutting-edge digital tools, process mining platforms, and AI frameworks.

  • Global career mobility and cross-functional project opportunities.

Shell encourages applicants of all genders, backgrounds, abilities, and experiences to apply.

📝 How to Apply

Apply Link : Click Here

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Follow these steps to apply for the Shell Data Science Analyst role:

  1. Visit the official Shell Careers website.

  2. Search for the Job ID R190562 or the keyword “Data Science Analyst”.

  3. Review the job description, eligibility, and location preferences.

  4. Click Apply to create or log into your Shell Careers account.

  5. Upload your updated resume, fill in required details, and submit.

  6. Keep an eye on your email for assessments, interview schedules, or updates.

Shell does not charge any fee for job applications.

💡 Final Thoughts

Shell’s Data Science Analyst role is an exceptional opportunity for early-career professionals who want to build a strong foundation in process analytics, data engineering, AI/ML, and process mining.

By joining the Digital Process Twin Centre of Excellence, you aren’t just working on data—you’re contributing to Shell’s global digital transformation and the future of sustainable energy. If you are passionate about data, eager to learn, and enthusiastic about solving real-world process challenges, this role is the perfect next step.

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