Tech & Digital-Lead Data Scientist

Job Title:

Lead Data Scientist

 

Job Details:

Business Unit: Tech & Digital

Team: Engineering Factories

Reports to: Program Engineering Capability Head

Location: Mumbai, Bangalore, Chennai & Gurgaon 

Job Function: Engineering

Role Type: Individual Contributor

Direct Reportees: NIL

Travel Required: Moderate / Light

Job Band Range: D1-D2

JD Created: 05-07-2021

JD Updated: 02-04-2024

Version No: 2.0

 

Job Purpose:

To transform raw data into valuable insights for organizational growth and competition.

Interpret and analyze data from multiple sources to devise innovative solutions.

Build AI models and applications to solve complex banking business problems.

 

Job Responsibilities:

Product Development, focusing on Machine Learning Engineer tasks.

Build, train, and deploy ML models for inferencing, creating surrounding APIs for cloud and on-prem 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 Indian financial space.

 

Educational Qualifications:

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

Graduate degree in Data Science or another quantitative field is preferred.

 

Key Skills:

Strong knowledge of Python and cloud-based deployments.

Expertise in EDA, NLP, Topic Modeling, NER, Embedding models, and Semantic Search techniques.

Working knowledge of LLMs via APIs (e.g., Open AI) and deploying open-source LLMs (e.g., LLAMA2, FLAN T5).

Proficiency in Lang Chain framework and Fast API of Python.

Working experience with Cloud (preferably Azure); understanding of MLOps frameworks is a plus.

Knowledge of Classification, 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 mind, business acumen, problem-solving ability.

Excellent communication and presentation skills.

 

Experience Required:

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

 

Major Stakeholders:

Branch Banking Team

Alternate Channels (VRM, COP, Prime, Unified, BEU, TSAU, CLCL, ME)

Credit / RIC

IT – BSG / TSG

Product teams

Operations

Sales Excellence Team

RBCU

Finance

BIU TFG Product team

Compliance

Policy