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Internship Applied Intelligence Jobs in Virginia

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from ... Dissertation work involving real-world sensor data or applied problems * Prior internships or ...

CCAM

CCAM Staff Accountant

Disputanta, VA · On-site

$54K - $71K/yr

Our research focuses on building intelligence in manufacturing processes and systems by bringing ... As an applied research center, CCAM has a very strong, multi-disciplinary resident staff that ...

CCAM

CCAM Staff Accountant

Disputanta, VA

$54K - $71K/yr

Our research focuses on building intelligence in manufacturing processes and systems by bringing ... As an applied research center, CCAM has a very strong, multi-disciplinary resident staff that ...

CCAM

Project Manager II

Disputanta, VA · On-site

Our research focuses on building intelligence in manufacturing processes and systems by bringing ... As an applied research center, CCAM has a very strong, multi-disciplinary resident staff that ...

CCAM

Project Manager II

Disputanta, VA · Hybrid

Our research focuses on building intelligence in manufacturing processes and systems by bringing ... As an applied research center, CCAM has a very strong, multi-disciplinary resident staff that ...

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Internship Applied Intelligence information

What is the difference between Internship Applied Intelligence vs Data Analyst Intern?

AspectInternship Applied IntelligenceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentTech companies, AI-focused teamsBusiness, finance, tech sectors
Employer & Industry UsageAI and machine learning firms, tech giantsCorporations, consulting firms, startups
Common Search & Comparison IntentUnderstanding roles in AI internshipsExploring data analysis internship opportunities

Internship Applied Intelligence focuses on AI and machine learning projects, requiring knowledge of programming and AI concepts. In contrast, Data Analyst Internships emphasize data interpretation, statistical analysis, and business insights. Both roles are valuable entry points in tech and data-driven industries, but they target different skill sets and industry applications.

What types of projects can I expect to work on as an Applied Intelligence intern, and how will I collaborate with other team members?

As an Applied Intelligence intern, you will typically work on data-driven projects such as developing predictive models, analyzing large datasets, or supporting the implementation of AI solutions for real-world business challenges. You’ll often collaborate with data scientists, engineers, and business analysts, participating in brainstorming sessions, stand-up meetings, and code reviews. Interns are encouraged to contribute their ideas and may also assist in preparing presentations or reports for stakeholders. This collaborative and fast-paced environment offers valuable exposure to both technical tasks and strategic problem-solving.

What is an Internship in Applied Intelligence?

An Internship in Applied Intelligence is a temporary position for students or recent graduates to gain hands-on experience working with data analytics, artificial intelligence, and machine learning technologies. Interns typically assist in analyzing large datasets, developing AI models, and supporting business decision-making through data-driven insights. This role allows individuals to apply theoretical knowledge in real-world scenarios while working under the guidance of experienced professionals. Such internships are valuable for building practical skills and preparing for a career in data science or AI-related fields.

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

To thrive in an Internship Applied Intelligence role, you typically need strong analytical thinking, problem-solving abilities, and a background in data science, statistics, or computer science, often supported by ongoing or completed relevant education. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is commonly required. Strong communication, teamwork, and adaptability help interns effectively present insights and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful patterns from complex data and contributing valuable recommendations to business decisions.
What are the most commonly searched types of Applied Intelligence jobs in Virginia? The most popular types of Applied Intelligence jobs in Virginia are:
What are popular job titles related to Internship Applied Intelligence jobs in Virginia? For Internship Applied Intelligence jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Applied Intelligence jobs in Virginia look for? The top searched job categories for Internship Applied Intelligence jobs in Virginia are:
Internship Applied Intelligence jobs near you
Internship - Machine Learning (Python) Research & Applied AI

Internship - Machine Learning (Python) Research & Applied AI

Novateur Research Solutions

Ashburn, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Internship Opportunity — Machine Learning (Python) | Research & Applied AI


Novateur Research Solutions, LLC is looking for motivated interns with strong Python programming skills to join our team working on cutting-edge machine learning and data-driven research.

We work on challenging, real-world problems where ML meets large-scale systems and complex data—ranging from healthcare to geospatial intelligence and simulation.

What you'll work on:

  • Medical image analysis (computer vision for healthcare applications)
  • Geospatial data mining and spatial intelligence
  • Long-term spatiotemporal modeling and forecasting
  • Large-scale microsimulation and computational modeling

Required Skills:

  • Strong Python programming ability
  • Experience with PyTorch or TensorFlow
  • Solid understanding of machine learning fundamentals
  • Comfort working with data structures and debugging code
  • Ability to learn quickly in a research-oriented setting

What you'll gain:

  • Hands-on experience solving real-world ML research problems
  • Exposure to interdisciplinary AI applications
  • Mentorship from experienced researchers and engineers
  • Opportunity to contribute to impactful, production-relevant research

Apply