Data Scientist

TechSci Research; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

TechSci Research is seeking an experienced professional to design and build an LLM-powered analytics application. You will create a scalable system that combines structured data, NLP, and domain knowledge to generate analyst-grade insights for market analysis.

You will develop data pipelines, fine-tune or prompt-engineer LLMs, collaborate with domain experts, and deliver APIs or interfaces enabling analysts or clients to interact with the system, while staying updated with GenAI advances.

Qualifications

• Strong fundamentals in machine learning and NLP.
• Proficiency in SQL and data querying.
• Python and data visualization experience.
• Experience with LLMs and related frameworks.
• Familiarity with REST APIs and data pipelines.
• Knowledge of prompt engineering and RAG.

Responsibilities

• Design and develop LLM-based market analysis systems.
• Build data pipelines to ingest and structure diverse sources.
• Fine-tune or prompt-engineer LLMs for reporting.
• Collaborate with domain experts to ensure context accuracy.
• Implement evaluation metrics and monitoring for outputs.
• Develop APIs or interfaces for analysts/clients.
• Stay current with GenAI advances and integrations.
• Participate in code reviews and experimentation pipelines.

Skills

ML & NLP

SQL

Python

Data analysis

Prompt engineering

RAG

REST APIs

Web scraping

Analytical thinking

Tools

Hugging Face

LangChain

Docker

CI/CD

Job description

We are Hiring.

About the Role

The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content.

Key Responsibilities

• Design and develop LLM-based systems for automated market analysis.


• Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets).


• Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports.


• Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs.


• Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights.


• Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system.


• Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations.


• Participate in code reviews, experimentation pipelines, and collaborative research discussions.

Qualifications Required:

• Strong fundamentals in machine learning, and natural language processing (NLP).


• Good Understanding of Database Concepts and hands on experience on SQL Query.


• Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization & OOPs Concepts.


• Experience developing applications using LLMs (both closed- and open-source models). Familiarity with frameworks like Hugging Face, LangChain,etc.


• Web Scrapping/ Ground Search


• Experience working with REST APIs, data ingestion pipelines, and automation workflows.


• Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies.


• Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights.

Good To Have:

• Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows.


• Exposure to frameworks such as OpenAI Agentic SDK, etc.


• Experience deploying ML/LLM solutions to production environments (Docker, CI/CD).