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Internship Natural Language Processing Intern Jobs in Arizona

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Senior Python/AI Software Engineer

Phoenix, AZ · On-site

$120K - $162K/yr

... for natural language processing, classification, clustering, anomaly detection, and predictive analytics. • Support the complete AI model lifecycle, including experimentation, evaluation ...

New

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

... natural language processing software. * Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff. Minimum ...

New

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

... natural language processing software. * Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

New

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with Natural Language Processing NLP * Familiarity with geospatial data and mapping tools * Knowledge of Monte Carlo simulations and stochastic modeling * Experience with Git and CICD ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with GitHub , GitHub Actions , and CI/CD pipelines * Experience with Five9 Contact Center Platform

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Internship Natural Language Processing Intern information

What is the difference between Internship Natural Language Processing Intern vs Data Science Intern?

AspectInternship Natural Language Processing InternData Science Intern
Required CredentialsRelevant coursework in NLP, computer science, or linguistics; basic programming skillsBackground in statistics, mathematics, or computer science; programming skills
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization tasks in tech, finance, or consulting firms
Employer & Industry UsageCommon in AI startups, tech giants, and research institutionsWidely used across tech, finance, healthcare, and consulting industries

Both roles are internship positions requiring programming skills and relevant coursework. NLP Interns focus specifically on language processing tasks, while Data Science Interns work on broader data analysis and modeling projects. The choice depends on your interest in language technologies versus general data analysis.

What are popular job titles related to Internship Natural Language Processing Intern jobs in Arizona? For Internship Natural Language Processing Intern jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Internship Natural Language Processing Intern jobs in Arizona look for? The top searched job categories for Internship Natural Language Processing Intern jobs in Arizona are:
Infographic showing various Internship Natural Language Processing Intern job openings in Arizona as of July 2026, with employment types broken down into 60% Internship, and 40% Full Time. Highlights an 100% In-person job distribution.

Data Scientist Intern - In Office, Scottsdale, AZ only

Sandhills Global, Inc.

Scottsdale, AZ • On-site

Full-time, Internship

Re-posted 6 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 19 rated publishing


Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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