BarRaiser India Internship 2024 For Data Scientist Intern | Work From Home

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BarRaiser India Internship 2024: BarRaiser India Internship 2024 for its Data Scientist Intern. BarRaiser India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: BarRaiser India

Role: Data Scientist Intern

Location: Remote

Experience: Freshers

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 1.0 LPA (Expected)

BarRaiser India Internship 2024

Job Description:

  • We are seeking a highly skilled and analytical Data Scientist to join our dynamic team.
  • In this role, you will be responsible for turning raw data into valuable insights that will help guide our strategic decisions.
  • Your main tasks will include data mining, machine learning, and statistical analysis.
  • You will work closely with our product and engineering teams to recommend and implement ways to improve our products, services, and data collection processes.


  • Proven experience as a Data Scientist or in a similar role.
  • Strong knowledge of Python programming, data structures, and algorithms.
  • Experience with API development and familiarity with AWS services.
  • Proficiency in Natural Language Processing (NLP), Large Language Models (LLM), and prompt engineering.
  • Excellent communication and teamwork skills, with a strong commitment to continuous learning and ethical behavior.
  • Experience in structured coding practices and a knack for writing clean, maintainable code.


  • Collecting and analyzing large sets of structured and unstructured data.
  • Designing and implementing advanced predictive models and analytics solutions.
  • Collaborating with engineering and product teams to implement analytics solutions.
  • Staying up-to-date with the latest technology trends in data science and LLMs.
  • Participating in the design and development of APIs and utilising AWS services for data science projects.
  • Applying NLP, LLM, and prompt engineering skills in various data science projects.
  • Ensuring clean, maintainable, and efficient code practices.
  • Developing and testing APIs for functionality, reliability, performance, and security.

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