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Internship Text Mining Jobs (NOW HIRING)

... interns in the areas of natural language processing, natural language generation, and deep learning ... text mining and computational linguistics. * Demonstrated success in using or (and preferably ...

... text report mining, and more! We are currently hiring both full-time and interns to join our R&D team. Responsibilities: * Develop deep learning models for prototyping and production purposes ...

Internship Text Mining information

What are the key skills and qualifications needed to thrive as an Internship Text Mining, and why are they important?

To thrive as an Internship Text Mining, you need a solid background in computer science, statistics, and linguistics, often demonstrated through relevant coursework or a related degree. Familiarity with programming languages like Python or R, experience with natural language processing (NLP) libraries, and tools such as NLTK, spaCy, or TensorFlow are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for extracting meaningful insights from large text datasets and contributing to data-driven decision-making.

What types of projects can an intern expect to work on during a Text Mining internship?

As a Text Mining intern, you can expect to work on a variety of natural language processing (NLP) projects such as extracting insights from large datasets, building and evaluating text classification models, or developing tools to automate data preprocessing. Interns often collaborate closely with data scientists and software engineers, contributing to both research and implementation phases. These projects not only help you build technical skills in machine learning and programming, but also provide exposure to real-world applications like sentiment analysis, document clustering, or information extraction. You'll likely participate in regular team meetings to discuss progress and challenges, gaining valuable feedback from experienced professionals.

What is an internship in text mining?

An internship in text mining is a temporary position, usually for students or recent graduates, where individuals gain hands-on experience working with techniques to extract meaningful information from large amounts of unstructured text data. Interns typically assist with projects involving natural language processing (NLP), data cleaning, and analysis using specialized software and programming languages such as Python. These internships provide valuable exposure to real-world applications of text analysis in industries like technology, healthcare, and finance, helping interns build practical skills and expand their professional network.
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What are the most commonly searched types of Text Mining jobs? The most popular types of Text Mining jobs are:
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Infographic showing various Internship Text Mining job openings in the United States as of May 2026, with employment types broken down into 54% Full Time, 44% Part Time, 1% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Data Scientist

Full-time

Posted 17 days ago


Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications