Consider this company only if its your last option - Data Scientist Cyient Employee Review

Projects resemble student-level college assignments, with the only difference being access to cloud resources. They lack real-world complexity and industry relevance. Senior Data Scientists and Data Science Architects often have limited expertise—sometimes even less than a fresher. Over-reliance on LLMs, leading to unrealistic commitments to clients without assessing practical feasibility. The team works exclusively with LLMs—no exposure to deep learning (DL), computer vision (CV), traditional machine learning (ML), or natural language processing (NLP) beyond LLMs. No involvement with big data, restricting opportunities to work on large-scale, real-world applications. Poor adherence to industrial software development practices, resulting in messy, unstructured, and inefficient codebases.