Data Science Intern - Job Description

Overview

Job Profile: Data Science Intern

Stipend: Performance Based

Work Location: Remote

Joining: 12th June, 2023

Duration: 6 Weeks

Selection Process:

  • Resume Shortlisting
  • Interview

Description

Responsibilities:

  • Collaborate with cross-functional teams to understand business requirements and define NLP use cases.
  • Collaborate with cross-functional teams to understand business requirements and define NLP use cases.
  • Develop and deploy NLP models and algorithms to analyze and extract insights from large volumes of text data.
  • Preprocess and clean text data to ensure its suitability for NLP analysis.
  • Design and implement machine learning models for tasks such as sentiment analysis, named entity recognition, text classification, topic modeling, and text summarization.
  • Apply techniques such as tokenization, part-of-speech tagging, dependency parsing, and entity recognition to process and analyze text data.
  • Utilize libraries and frameworks such as NLTK, spaCy, Gensim, and TensorFlow for NLP model development and evaluation.
  • Conduct feature engineering and selection to improve model performance and accuracy.
  • Collaborate with software engineers to integrate NLP models into production systems and ensure scalability and performance.
  • Stay updated with the latest research and advancements in NLP and apply them to solve complex business problems.
  • Communicate findings and insights from NLP analysis to both technical and non-technical stakeholders through visualizations, reports, and presentations.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Strong foundation in machine learning, statistical analysis, and data manipulation.
  • Solid understanding of NLP concepts, techniques, and algorithms.
  • Experience with NLP libraries and frameworks such as NLTK, spaCy, Gensim, and TensorFlow.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with data visualization tools and techniques.
  • Experience in preprocessing and cleaning text data.
  • Knowledge of deep learning architectures and frameworks for NLP, such as LSTM, CNN, and Transformers, is a plus.
  • Strong problem-solving skills and the ability to think critically.
  • Excellent communication and collaboration skills to work effectively in a team environment.

Important Note:

This job description outlines the general nature and level of work performed by individuals assigned to this position. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Training and mentorship will be provided to enhance your technical skills and professional growth.

Additional Information:

  • This is a full-time position.
  • Prior experience with NLP projects or internships is a plus but not mandatory.
  • The internship offers an opportunity to work on cutting-edge NLP projects and contribute to the development of innovative solutions.
  • Training and mentorship will be provided to enhance your NLP skills and knowledge.
  • Competitive compensation and benefits package based on qualifications and experience.
  • At the end of the internship, interns will receive a certificate of completion and a valuable experience to add to their resume.
    • Please note: The information filled by you in the Job Application form would be referred to at every stage of the interview process. Hence, make sure that the details furnished by you are true and correct to the best of your knowledge.