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    Home/Jobs/Senior Data Scientist - AI Labs

    Senior Data Scientist - AI Labs

    IDFC First Bank

    Bengaluru
    5-8 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    GPT
    Gen AI
    Python
    R
    Pandas
    NumPy
    Scikit-learn
    TensorFlow
    PyTorch
    Keras
    NLTK
    SpaCy
    Gensim
    BERT
    SQL

    Description

    As a Senior Data Scientist in the Data & Analytics function at IDFC FIRST Bank, you will play a pivotal role in leveraging advanced machine learning and statistical techniques to extract actionable insights from complex datasets.

    Company: IDFC FIRST Bank

    Role: Senior Data Scientist - AI Labs

    Experience:

    • 5-8 years of relevant experience in data science, with a strong focus on NLP, machine learning, and model deployment

    Key Skills:

    • Python
    • R
    • pandas
    • NumPy
    • Scikit-Learn
    • TensorFlow
    • PyTorch
    • Keras
    • NLTK
    • SpaCy
    • Gensim
    • BERT
    • GPT
    • Matplotlib
    • Seaborn
    • Tableau
    • SQL
    • NoSQL

    Qualification:

    • Bachelor’s Degree in: Computer Science, Statistics, Mathematics, Engineering, Data Science
    • Postgraduate Degree (preferred) in: Data Science, Machine Learning, Artificial Intelligence, Applied Statistics

    Role Focus:

    • Lead Generative AI projects within cross-functional teams, driving innovation and business impact
    • Develop and deploy predictive models using Python or R and libraries
    • Apply advanced machine learning algorithms and statistical modeling techniques to solve business problems
    • Work extensively with Natural Language Processing (NLP) frameworks
    • Implement text analytics techniques including topic modeling, sentiment analysis, and text classification
    • Create compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau

    Additional responsibilities:

    • Contribute to multiple data analysis projects, with a strong focus on text-based data
    • Build, validate, and deploy predictive models tailored to unstructured text datasets
    • Handle large-scale text data, including cleaning, preprocessing, and feature engineering
    • Collaborate with BI analysts and engineers to prototype and present data science solutions

    Other:

    • Proficiency in Python or R and associated data science libraries
    • Strong understanding of NLP techniques and transformer-based models
    • Experience with big data tools and handling large unstructured datasets
    • Ability to translate business problems into data science solutions
    • Excellent communication and presentation skills
    • Strong debugging and problem-solving capabilities
    • Experience working in collaborative, agile environments
    • Timely and error-free delivery of data science projects
    • Effective deployment and performance of predictive models
    • Resolution of infrastructure and model training issues
    • Technical leadership and innovation in Gen AI and NLP initiatives

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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