Data Scientist

Role & responsibilities

*Collaborate with domain experts in the organization to understand design workflows extract

actionable insights/opportunities.

* Develop tools, scripts, or models to automate design and drafting workflows like drawing generation,

clash detection, material estimation.

* Analyze large volumes of design data like piping layouts, cable schedules, structural loads to derive

insights or identify inconsistencies.

* Design and implement ML models to optimize engineering workflows like drawing classification,

component recognition, clash detection, layout optimization

* Develop AI-powered tools for drawing review, quantity take-off, change detection, and model

validation

* Integrate AI models into engineering software environments and apply natural language processing

(NLP) / computer vision techniques to automate tasks like image tagging, design pattern recognition, or content generation.

* Build predictive or optimization models to support Structural load optimization, Cable routing and

I/O allocation, Piping/material layout optimization.

* Integrate with or extract data from 3D modeling tools (e.g., AVEVA E3D, AutoCAD, SmartPlant,

MicroStation, STAAD, Tekla).

* Stay up-to-date with the latest advancements in data science, machine learning, and design tools to

continuously innovate and improve automation solutions.

Preferred candidate profile

*Overall 6+ years of experience in data science, machine learning frameworks and libraries

* Atleast 2 years of experience in O&G domain.

* Proficiency in Python along with pandas, scikit-learn, PyTorch/TensorFlow libraries.

* Experience with computer vision for drawing/model analysis.

* Knowledge of data processing tools, techniques and working with large datasets.

* Understanding of engineering documentation and deliverables: GA drawings, P&IDs, cable

schedules, structural drawings

* Strong problem-solving abilities, analytical thinking with an ability to troubleshoot and resolve

issues.