Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
Neo4j
Where the posting names them
Frameworks and Tools (Mandatory)
- Strong programming skills in Python.
- Hands-on experience with LangChain and LangGraph.
- Hands-on experience with LangChain and LangGraph.
- Experience with Neo4j and graph databases.
- Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, PgVector, or equivalent technologies.
Yes. We’ve followed 2 other Senior Data Scientist jobs there since October 2026. One came down after 5 days. One is still up.
ChennaiCame down after 5 days, first seen Oct 14
BengaluruStill up after 11 days, first seen Oct 26
This jobUp 1 day so far, first seen Nov 4
Oct 14Today
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
This role is for one of Weekday’s clients Salary range: Rs 3000000 - Rs 5000000 (ie INR 30 - 50 LPA)
Min Experience: 5+ years Location: Mumbai, Maharashtra, India JobType: full-time
We are looking for a Senior Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), and Machine Learning to design, develop, and deploy production-grade AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, GraphRAG architectures, and intelligent AI agents. This role involves developing scalable AI applications, fine-tuning models, and translating complex business requirements into practical AI-driven solutions.
Requirements
Key Responsibilities
Design, build, and deploy production-ready Artificial Intelligence and Machine Learning solutions.
Develop and optimize LLM-powered applications using RAG, GraphRAG, Agentic AI, and multimodal AI technologies.
Fine-tune and customize Large Language Models using LoRA, PEFT, transfer learning, and other relevant techniques.