Liquide- Sr. Data Scientist

Bangalore, IN Until 8/22/2026 5+ years exp First posted April 20, 2026 Last posted April 20, 2026
Job description

Job Title: Data Scientist/Senior Data Scientist

Location: Bangalore, India
Company: Liquide
Experience: 5+ years
Employment Type: Full-time

About Liquide

Liquide is a cutting-edge fintech platform dedicated to democratizing investment access and empowering users with personalized, AI-driven financial insights. We’re redefining how individuals invest by combining data science, large language models (LLMs), and domain expertise.

Role Overview

We are seeking a highly skilled and experienced Data Scientist with knowledge in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. In this role, you will lead initiatives to design, build, and optimize intelligent NLP-based systems that power Liquide’s next-generation financial products and investment platforms.

Key Responsibilities

    # Research and development of ML quant models for:indian equity markets
    Build and optimize time-series forecasting models, factor models, predictions, scores, quant models, etc

    # Drive LLM-based chatbot development:

    # Fine-tune open-source LLMs with financial datasets.

    # Design RAG pipelines for contextual financial Q&A.

    # Integrate external data sources and searches (news, results, filings, etc).

    # Collaborate with engineering teams for scalable API/product deployment.


    # Architect and deploy ML pipelines (ETL, feature engineering, backtesting, model monitoring)

About this role

Summary

Develop and optimize NLP models, time-series forecasts, and ML pipelines for financial products.

Job title

Sr. Data Scientist

Experience level

5+ years

Minimum experience

5+ years exp

Industry

fintech

Location requirements

Bangalore, IN; remote not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

ml modelsnlpllmsragtime-series

Preferred skills

None specified

Specializations

large language modelsretrieval-augmented generationnlptime-series forecastingfinancial data
Locations

Structured locations inferred from the posting.

Bengaluru, Karnataka, India

On-site City
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