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Applied Scientist Intern Jobs in Washington (NOW HIRING)

University - Applied AI Intern

Washington, DC ยท On-site

$69K - $158K/yr

As an Applied AI Intern, you'll help our defense mission space team explore new approaches in ... As part of our team, you'll collaborate closely with data scientists, AI engineers, and mission ...

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Applied Scientist Intern information

What does an applied scientist intern do?

An Applied Scientist Intern typically works on real-world problems by applying scientific methods, machine learning, data analysis, and programming skills. They collaborate with engineers and researchers to develop and test models or algorithms that solve business or technical challenges. Interns may also help collect and analyze data, run experiments, and document their findings. This role provides hands-on experience in both research and practical implementation, often in fields like artificial intelligence, data science, or computer vision.

What types of projects does an applied scientist intern typically work on, and how are these projects structured within the team?

Applied Scientist Interns often work on data-driven projects that involve developing and testing machine learning models, conducting experiments, and analyzing large datasets to solve real business problems. These projects are usually well-defined and aligned with ongoing team objectives, but interns are encouraged to contribute their own ideas and approach. Interns regularly collaborate with experienced scientists, software engineers, and product managers, receiving mentorship and feedback throughout the process. Project milestones and deliverables are often set at the beginning of the internship to ensure clear expectations and measurable outcomes.

What are the key skills and qualifications needed to thrive as an applied scientist intern, and why are they important?

To thrive as an Applied Scientist Intern, you generally need a solid background in mathematics, statistics, and computer science, often supported by progress toward a relevant degree such as computer science, data science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of data analysis tools are typically expected. Strong analytical thinking, curiosity, and effective communication skills help interns collaborate on research projects and present findings. These skills are crucial for contributing meaningful insights, building practical solutions, and working effectively within a multidisciplinary team.

What are popular job titles related to Applied Scientist Intern jobs in Washington?

For Applied Scientist Intern jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Applied Scientist Intern jobs?

Cities in Washington with the most Applied Scientist Intern job openings:

Infographic showing various Applied Scientist Intern job openings in Washington as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

University - Applied AI Intern

Bah

Washington, DC โ€ข On-site

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Collaborate with data scientists, AI engineers, and mission experts to understand client needs and apply mathematical methods to data-driven problems.

  • Contribute to algorithm design, model validation, analytic experimentation, and explainability analysis to ensure AI systems are trustworthy and robust.

  • Help build tools, applications, and pipelines that integrate machine learning into operational workflows and analytical systems.


Job description

University - Applied AI Intern

The Opportunity:

Artificial Intelligence is only as strong as the mathematical foundations behind it. As an Applied AI Intern, you'll help our defense mission space team explore new approaches in optimization, modeling, probability, and algorithmic development to advance nextgeneration mission solutions. You'll work with massive realworld data sets and operationally relevant challenges, giving you the opportunity to translate academic theory into meaningful national security impact.

As part of our team, you'll collaborate closely with data scientists, AI engineers, and mission experts to understand client needs, apply mathematical methods to datadriven problems, and evaluate the performance of advanced AI and machine learning techniques. You'll contribute to algorithm design, model validation, analytic experimentation, and explainability analysis to help ensure deployed AI is trustworthy, robust, and missionready.

AI-enabled defense capabilities require software developers who can design, test, and refine intelligent systems from prototype through mission deployment. In this role, you'll help build tools, applications, and pipelines that integrate machine learning into real world operational workflows and advanced analytical systems.

This role is more than just coding-you'll collaborate with multidisciplinary teams to explore emerging AI technologies, evaluate integration approaches, and develop software components that enhance mission-relevant decision making. You'll work in Agile environments where you can rapidly iterate, test new features, incorporate user feedback, and gain exposure to cloud environments, DevSecOps toolchains, and secure development best practices. Join us as we develop AI-enhanced systems that support national defense and use applied mathematics to shape the future of defense missions.

Join us. The world can't wait.

You Have:

  • Experience with programming languages or frameworks, including Python, Java, C++, Go, or JavaScript
  • Experience with Microsoft Office, including Outlook, Word, Excel, and PowerPoint
  • Knowledge of software development methodologies, version control, and collaborative development workflows
  • Ability to obtain a Secret clearance
  • Scheduled to obtain a Bachelor's degree in Computer Science, Information Systems, or a STEM field by Spring or Summer 2027

Nice If You Have:

  • Experience with AI and ML model development or integration
  • Experience with cloud platforms, containerization, or DevSecOps tooling
  • Experience with databases such as SQL or NoSQL or data engineering pipelines
  • Knowledge of Agile development

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.