Data Scientist
Shell (company site, opens in a new tab)6–8 yrsChennaiOn-siteDirect career pageEst. 20–35 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement machine learning and optimization models using process event data to improve business process performance.
- Design and embed scalable analytical solutions into Shell’s process-mining platform for real-time insights and operational optimization.
- Contribute to research and innovation in process intelligence, ensuring Responsible AI principles in all model development and deployment.
Minimum Requirements
- 6–8 years of data science experience including AI/ML or optimization models development; at least 2 years with process event or behavioral data.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related quantitative field.
- Proficiency in Python, SQL, process-mining algorithms, and data-modeling techniques for event data.
- Experience with MLOps/DevOps practices, process-mining platforms (e.g., Celonis EMS), and cloud environments (Azure, AWS, or GCP).
Ideal Candidate Profile
- Experienced in applying process-mining combined with AI/ML to enterprise datasets for operational improvements.
- Skilled in developing scalable, production-grade analytical models integrating ML with process data pipelines.
- Familiar with responsible and explainable AI frameworks and advanced deployment automation (CI/CD, GitHub, Docker).