Data Scientist - AI Labs

IDFC FIRST Bank; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

IDFC FIRST Bank in Mumbai or Bangalore seeks a Data Scientist to develop predictive models, perform NLP/text analytics, and collaborate with ML engineers to deploy AI solutions. Strong NLP, ML, and programming skills required.

Responsibilities include building models, handling large datasets, and delivering actionable insights with clear visualizations. Experience with transformer models and data processing is highly valued.

Qualifications

• 3+ years of relevant experience in data science and machine learning.
• Exposure to NLP and text analytics projects.
• Strong foundation in programming and model deployment.

Responsibilities

• Develop predictive models using Python or R and data science libraries.
• Apply ML algorithms and statistical modeling to solve business problems.
• Utilize NLP libraries for text analytics tasks like topic modeling and sentiment analysis.
• Work with transformer models (BERT, GPT) for language understanding.
• Query and manage data using SQL/NoSQL databases.
• Create data visualizations to communicate insights.

Skills

Python

R

NLP

Machine learning

Text analytics

SQL

NoSQL

Data visualization

Transformer models

BERT/GPT

Education

Postgraduate degree in CS/Statistics/Engineering

Bachelor’s degree in a quantitative field

Tools

NLTK

SpaCy

Gensim

TensorFlow

PyTorch

Keras

scikit-learn

Tableau

Job description

About the Role

The Data Scientist will be part of the Data & Analytics team, based in Mumbai or Bangalore.

Job Requirements

This role focuses on applying machine learning and statistical techniques to extract meaningful insights from structured and unstructured data. You will be responsible for developing predictive models, conducting text analytics, and collaborating with ML engineers to ensure successful deployment and performance of AI solutions. A strong foundation in NLP and experience with large language models will be highly valuable.

Key Responsibilities

Primary Responsibilities

• Develop predictive models using Python or R and data science libraries such as pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Apply machine learning algorithms and statistical modeling techniques to solve business problems.
• Utilize NLP libraries and frameworks (e.g., NLTK, SpaCy, Gensim) for text analytics tasks such as topic modeling, sentiment analysis, and text classification.
• Work with transformer models like BERT and GPT for advanced language understanding.
• Query and manage data using SQL and NoSQL databases.
• Create data visualizations using tools like Matplotlib, Seaborn, or Tableau to communicate insights effectively.

Secondary Responsibilities

• Participate in multiple data analysis projects, with a focus on text analytics and natural language understanding.
• Build, validate, and deploy predictive models based on large text datasets.
• Clean and preprocess text data for machine learning tasks.
• Collaborate with ML engineers to ensure smooth deployment and integration of models.

What We Are Looking For

Education

Postgraduate Degree or bachelor’s degree in: Computer Science, Economics, Statistics, Mathematics, Engineering, computational science

Experience

3+ years of relevant experience in data science and machine learning, ideally with exposure to NLP and text analytics projects.

Skills And Attributes

• Strong programming skills in Python or R.
• Deep understanding of machine learning and NLP techniques.
• Experience with large-scale data processing and model deployment.
• Ability to work collaboratively in cross-functional teams.
• Strong analytical thinking and problem-solving abilities.

Key Success Metrics

• Timely and error-free delivery of data science solutions.
• Effective identification and resolution of training infrastructure issues.
• Technical leadership in analytics and model development projects.