Embedded Data Scientist, Chanakya

Highlights

• Deploy at client sites to structure large-scale datasets for AI reasoning.
• Design ontologies and knowledge graphs that power the reasoning engine.
• Work with multimodal data from documents to imagery, audio and geospatial data.

Ideal candidate

Autonomous data scientist comfortable in client environments turning messy, unstructured data into rigorous semantic structures, bridging domain understanding and AI system design to enable reliable reasoning at scale.

Requirements

• 2–5 years in data science, applied machine learning, or large-scale data analysis roles
• Strong Python skills including pandas, NumPy, and modern NLP or LLM tooling
• Solid grounding in ML fundamentals — enough to understand model behaviour, contribute to evaluation design, and collaborate with a models team on training and benchmarking
• Experience working with large unstructured datasets including documents, transcripts, reports, or operational records
• Familiarity with LLM-based systems, retrieval pipelines, or vector search systems
• Experience designing or working with data schemas, metadata frameworks, entity models, or semantic data structures