Data Science Internship By BNP Paribas India
Data Science Internship By BNP Paribas India
BNP Paribas India Solutions, a wholly owned subsidiary of BNP Paribas SA, is seeking Data Science Interns to join its Global Markets Data and Artificial Intelligence Lab in Mumbai. This internship offers an opportunity to work on cutting-edge AI and Machine Learning applications in finance, including predictive modelling, natural language processing, and data-driven decision-making. Interns will handle diverse structured and unstructured datasets, build innovative models to enhance client service, optimize trading risk management, and develop market insights. The position provides exposure to real-world business problems in a global investment banking environment, with the flexibility to explore various project topics over a 6-month period.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Candidates must be pursuing or have completed a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Actuarial Science, or related fields.
  • Proficiency in Python programming with knowledge of machine learning libraries such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch is required.
  • Must have a strong foundation in statistics, probability theory, linear algebra, and machine learning concepts.
  • Proficiency in both English and the ability to communicate effectively in a professional setting is necessary.
  • Demonstrated analytical, problem-solving, and critical thinking skills are essential.
  • Knowledge of data processing, cleaning, transformation, and hypothesis testing is required.
  • Involvement in the data science community (e.g., Kaggle, OpenML) is a plus.
    Note: This internship is exclusively available in India. Specifically, in Mumbai.
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    Responsibilities
    Interns will:
  • Explore and analyze diverse datasets from multiple sources.
  • Perform conceptual modeling, statistical analysis, predictive modeling, and optimization design.
  • Clean, normalize, and transform data for analytical purposes.
  • Conduct hypothesis testing through experiments.
  • Build and maintain workflows for data extraction, transformation, and loading (ETL).
  • Ensure the integrity and security of data systems.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    Data Science Internship By BNP Paribas India
    SCHOLARSHIP PROVIDER
    BNP Paribas India
    APPLICATION DEADLINE
    31 October
    EDUCATION LEVEL
    Engineering
    Bachelors
    Masters
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    BNP Paribas India Solutions, a wholly owned subsidiary of BNP Paribas SA, is seeking Data Science Interns to join its Global Markets Data and Artificial Intelligence Lab in Mumbai. This internship offers an opportunity to work on cutting-edge AI and Machine Learning applications in finance, including predictive modelling, natural language processing, and data-driven decision-making. Interns will handle diverse structured and unstructured datasets, build innovative models to enhance client service, optimize trading risk management, and develop market insights. The position provides exposure to real-world business problems in a global investment banking environment, with the flexibility to explore various project topics over a 6-month period.