# Data Scientist

**Company**: Shell
**Location**: Chennai, RMZ Millenia
**Job type**: full-time
**Category**: Data Science
**Industry**: Energy

**Apply**: https://shell.wd3.myworkdayjobs.com/en-US/ShellCareers/job/Chennai---RMZ-Millenia/Data-Scientist_R205059?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-scientist-65e6dc30-ba4/

## Description

The Commercial Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence.

As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance.

Responsibilities:

- Develop and implement machine learning and optimization models using process event data to predict, classify, and enhance business-process performance.

- Apply process-mining and AI/ML techniques to discover process patterns, identify root causes, and quantify improvement opportunities.

- Implement and maintain process data models , integrating and transforming data from enterprise systems into structured, analysis-ready pipelines for process-mining and machine-learning applications.

- Collaborate with senior data scientists, data engineers, and software developers to embed models into Shell's process-mining platform for scalable, real-time analytics.

- Develop algorithms that combine process-mining insights with AI/ML models for anomaly detection, forecasting, and prescriptive optimization.

- Implement MLOps and DevOps workflows for model lifecycle management, version control, deployment, and monitoring.

- Support the establishment of best practices in solution design, data quality, and delivery of scalable analytical products aligned with strategic business objectives.

- Contribute to research and innovation by evaluating emerging tools, algorithms, and open-source frameworks in process intelligence and digital twins.

- Ensure Responsible and Explainable AI (XAI) principles are embedded in all model development and deployment practices.

Requirements:

- 6–8 years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data.

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

- Proven track record of building and deploying analytical solutions from concept to production.

- Demonstrated expertise in applying machine learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets.

- Strong programming proficiency in Python, SQL, and data-modeling techniques for event data.

- Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines for process analytics.

- Experience integrating ML models with process-mining platforms.

- Familiarity with Agile development, MLOps, and DevOps practices for automation, testing, and deployment.

- Solid understanding of process data structures and their application in process-performance modeling.

- Exposure to cloud environments for data science workloads is desirable.

- Demonstrated commitment to technical rigor and model explainability through Responsible AI practices.

Benefits:

- Progress as a person while working on the energy transition.

- Continuously grow transferable skills.

- Work at the forefront of technology, trends, and practices.

- Collaborate with experienced colleagues.

- Achieve balance in a values-led culture.

- Join an organization working to become one of the most diverse and inclusive in the world.

- Grow through diverse career opportunities.

- Gain access to a wide range of training and development programs.

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## Skills

### Required
- Python
- SQL
- Machine Learning
- Process Mining
- Optimization
- Data Modeling
- MLOps
- DevOps

### Nice to have
- Cloud Environments
- Agile Development
- Responsible AI
- Process Simulation
- Operations Research Methods
- Big Data Frameworks

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Source: [Apply at shell.wd3.myworkdayjobs.com](https://shell.wd3.myworkdayjobs.com/en-US/ShellCareers/job/Chennai---RMZ-Millenia/Data-Scientist_R205059?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)