Tech & Digital-Lead Data Scientist with A Leading Private Bank

Riverforest-Connections-Private-Limited; Gurugram District; On-site; INR 4,200,000 - 6,500,000; Full time

Benefits offered by this job

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Job summary

Riverforest-Connections-Private-Limited seeks a Lead Data Scientist for the Tech & Digital unit. Based in Gurgaon, Mumbai, Bangalore, or Chennai, you will lead ML engineering, model development, and deployment across cloud and on-premise environments. Strong Python, NLP, LLMs, and fast APIs are essential.

You will design ML apps for the bank, perform EDA/MI work, and drive NLP and semantic search initiatives. Travel modestly; 11+ years experience required.

Qualifications

• 11+ years of proven experience as a Data Scientist or Data Analyst.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, or a relevant field.
• Graduate degree in Data Science or another quantitative field is preferred.

Responsibilities

• Lead product development, focusing on Machine Learning Engineering tasks.
• Build, train, and deploy ML models for inferencing, creating surrounding APIs for cloud and on-premise access.
• Develop ML-based applications for the bank using various ML techniques.
• Build and deploy ML applications in the cloud, utilizing NLP, LLMs, and supervised learning.
• Understand the bank's data domain for EDA and MI reports, designing and developing ML applications.
• Leverage data to impact the economic ecosystem of the bank and the Indian financial space.

Skills

Python

NLP

EDA

Topic Modeling

NER

Embedding models

Semantic Search

LLMs via APIs

LangChain

FastAPI

Azure Cloud

TensorFlow

PyTorch

Tableau

Hadoop

BERT

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, or a relevant field

Graduate degree in Data Science or another quantitative field (preferred)

Tools

OpenAI API

LLAMA2

FLAN T5

LangChain

FastAPI

Azure Cloud

TensorFlow

PyTorch

Tableau

Hadoop

Job description

Tech & Digital-Lead Data Scientist with A Leading Private Bank

Job ID : RFC- 2638

Posted Date : 14/10/2026

Work Experience (Years) : 10-15

Location : Gurgaon, HR

About the Role

This role is for a Lead Data Scientist within the Tech & Digital Business Unit, specifically on the Engineering Factories team. Reporting to the Program Engineering Capability Head, this individual contributor position is based in Mumbai, Bangalore, Chennai, or Gurgaon. The role involves moderate/light travel and falls

Key Responsibilities

• Lead product development, focusing on Machine Learning Engineering tasks.
• Build, train, and deploy ML models for inferencing, creating surrounding APIs for cloud and on-premise access.
• Develop ML-based applications for the bank using various ML techniques.
• Build and deploy ML applications in the cloud, utilizing Natural Language Processing (NLP), Large Language Models (LLMs), and supervised learning.
• Understand the bank's data domain for Exploratory Data Analysis (EDA) and Management Information (MI) reports, designing and developing ML applications.
• Leverage data to impact the economic ecosystem of the bank and the Indian financial space.

Educational Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, or a relevant field.
• A graduate degree in Data Science or another quantitative field is preferred.

Experience

• 11+ years of proven experience as a Data Scientist or Data Analyst.

Key Skills

• Strong knowledge of Python and cloud-based deployments.
• Expertise in Exploratory Data Analysis (EDA), Natural Language Processing (NLP), Topic Modeling, Named Entity Recognition (NER), Embedding models, and Semantic Search techniques.
• Working knowledge of Large Language Models (LLMs) via APIs (e.g., OpenAI) and deploying open-source LLMs (e.g., LLAMA2, FLAN T5).
• Proficiency in the LangChain framework and FastAPI of Python.
• Working experience with Cloud (preferably Azure); understanding of MLOps frameworks is a plus.
• Knowledge of Classification and Question Answering (Q&A) networks using BERT.
• Strong knowledge of TensorFlow and PyTorch frameworks.
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop) is a plus.
• Understanding of machine learning and operations research.
• Analytical mindset, business acumen, and strong problem-solving ability.
• Excellent communication and presentation skills.