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Full Time Intern Nlp Jobs (NOW HIRING)

Applexus Technologies

Data Scientist Intern

Seattle, WA · On-site

United States of America Seattle Full Time Applexus is a global SAP consulting firm specializing in ... Contribute to developing predictive models, natural language processing (NLP), or computer vision ...

Jade Global

Integration Analyst Intern

Ogden, UT

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exposure to NLP, Computer Vision, or Generative AI is a plus * Experience with Jupyter Notebooks ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exposure to NLP, Computer Vision, or Generative AI is a plus * Experience with Jupyter Notebooks ...

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Full Time Intern Nlp information

What is the difference between Full Time Intern Nlp vs Data Analyst Intern?

AspectFull Time Intern NlpData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsUsually pursuing or recent graduate in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, tech companies, or AI startups focusing on NLP projectsBusiness environments, tech companies, or consulting firms analyzing data sets
Employer & Industry UsageUsed in AI, machine learning, and NLP-focused companiesCommon in finance, marketing, and tech industries for data analysis

Full Time Intern Nlp roles focus on natural language processing projects within AI and tech companies, requiring knowledge of NLP tools and programming. Data Analyst Intern roles involve analyzing data sets to generate insights, often requiring statistical skills. While both are internships, Full Time Intern Nlp emphasizes NLP-specific skills, whereas Data Analyst Interns focus on data analysis across various industries.

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Full Time Intern Nlp jobs near you
Infographic showing various Full Time Intern Nlp job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Data Scientist Intern

Data Scientist Intern

Applexus Technologies

Seattle, WA • On-site

Full-time

Re-posted 19 days ago

Job description

United States of America Seattle Full Time
Applexus is a global SAP consulting firm specializing in SAP S/4HANA, Data & Analytics, and SAP BTP solutions. We provide comprehensive end-to-end services, from strategic planning to seamless implementation, backed by deep industry expertise and SAP domain knowledge. Our tailored solutions for various industries and lines of business are designed to enhance business performance, foster innovation, and deliver tangible business value to our clients.
Headquartered in Seattle, Washington, we operate out of centers in the United States, Canada, the United Kingdom, and India. Our commitment goes beyond just business; we're dedicated to making a positive impact by actively serving our communities worldwide.
About the Role:
We are looking for a motivated and curious Data Science Intern to join our team. As an intern, you will work on real-world machine learning and data science projects under the guidance of experienced professionals. This is a great opportunity to apply your academic knowledge, learn new tools and techniques, and gain hands-on experience in the AI/ML field.
Skills & Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Good programming skills in Python (knowledge of R is a plus).
  • Familiarity with ML libraries and frameworks like scikit-learn, TensorFlow, PyTorch, or Keras.
  • Understanding of basic statistics, linear algebra, and machine learning algorithms.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
Key Responsibilities:
  • Assist in building, training, and evaluating machine learning models.
  • Work on data cleaning, preprocessing, and feature engineering.
  • Contribute to developing predictive models, natural language processing (NLP), or computer vision projects.
  • Use Python and relevant libraries (such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch).
  • Collaborate with team members to analyze results and present insights.
  • Document work and findings clearly for future reference.
What You'll Gain:
  • Hands-on experience with cutting-edge AI/ML technologies.
  • Mentorship from experienced data scientists and engineers.
  • Opportunity to work on meaningful projects with real impact.
  • A certificate of completion and potential for future full-time opportunities.

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