Data Scientist

✅ Analyze project data and historical performance to forecast potential delays, cost overruns, and safety risks.

✅ Implement computer vision and other AI techniques to automatically inspect work, detect defects in materials, and ensure quality standards are met on-site and in manufacturing facilities.

✅ Develop models to predict equipment failures and optimize maintenance schedules for heavy machinery, plant components, and other critical assets.

✅ Use AI to analyze incident reports, near-miss data, and real-time sensor information to identify safety hazards, predict accident hotspots, and improve safety protocols on construction sites.

✅ Build models to optimize the procurement of materials and logistics, including predicting material costs, lead times, and potential supply chain disruptions.

✅ Stay up-to-date with the latest advancements in data science, machine learning, and design tools to continuously innovate and improve automation solutions.

✅ Collaborate with engineering teams to develop AI tools that automate parts of the design process, such as generative design for structural components or optimizing layouts for efficiency and cost.

🔹 Experience in “design and prototype” ML development with SQL datasets and training the model.

🔹 Proficiency in SQL, Python, SPARK along with pandas, scikit-learn, PyTorch/TensorFlow libraries.

🔹 Strong problem-solving abilities, analytical thinking with an ability to multi-task, acquire new skills, troubleshoot and resolve issues.

🧭 Experience: 5+ years of related work experience in similar industries

🔹 Experience on the Azure Cloud platform including Azure Databricks, Azure ML.

🔹 Power BI or a similar data visualization software

🔹 Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker.

🔹 Experience with computer vision for drawing/model analysis.

🔹 A strong understanding of the EPC project lifecycle, from front-end engineering design (FEED) to commissioning and experience of Primavera P6, SAP, BIM, and IoT sensor data.

🔹 Ability to work closely with project managers, engineers, and on-site personnel to understand their needs and translate business problems into data science solutions.

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

Qualification: B. Tech / M. Tech Computer Science or Information Technology in a related