Sr. Data Scientist (Chatbots)

IDFC FIRST Bank · Bengaluru

  • Experience4–8 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted2 Sept 2026
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About IDFC FIRST Bank

IDFC FIRST Bank is hiring in Bengaluru in financial services. This role looks for around 4+ years of experience.

Skills

  • Machine Learning
  • Python
  • R
  • pandas
  • NumPy
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Keras
  • Natural Language Processing
  • NLTK
  • spaCy
  • Gensim
  • Text Analytics
  • SQL
  • NoSQL
  • Matplotlib
  • Seaborn
  • Tableau

The role

A data scientist at a banking organization develops chatbot solutions using machine learning, natural language processing, and text analytics, and deploys predictive models with Python and TensorFlow. The role also applies statistical modeling and transformer models to large text datasets.

Full job description

In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data, and working closely with our ML engineers to ensure the effective deployment and functioning of these models.

Responsibilities:

Lead the development and implementation of advanced chatbot solutions.

Collaborate with cross-functional teams to identify and prioritize business requirements.

Develop, test, and deploy predictive models for chatbot applications.

Ensure the timely delivery of high-quality, error-free models and solutions.

Troubleshoot and resolve issues related to training infrastructure and model deployment.

Mentor and guide junior data scientists and engineers.

Requirements:

Proficient in building chatbots and experience in working with GenAI.

Proficiency in Python or R, and experience with data science libraries like pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or Keras.

Strong understanding of machine learning algorithms and statistical modeling.

Familiarity with Natural Language Processing (NLP) libraries and frameworks such as NLTK, SpaCy, or Genism.

Experience with transformer models (BERT, GPT, etc. ) can be a plus.

Experience with text analytics techniques such as topic modeling, sentiment analysis, text classification, etc.

Understanding of SQL and NoSQL databases.

Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau.

Should have been part of multiple data analysis projects, ideally with a significant focus on text analytics.

Experience in building, validating, and deploying predictive models based on text data.

Experience in handling large text datasets, cleaning, and processing text data for machine learning tasks.