HimalayasHimalayas logo
Ninja AnalyticsNA

Data Scientist/ AI Solutions Architect Internship

Ninja Analytics is a data analytics and decision science company based in Leesburg, VA, providing analytical and software development services for anti-money laundering, fraud detection, trade surveillance, and systems integration to financial institutions and government agencies.

Ninja Analytics

Employee count: 11-50

United States only

Stay safe on Himalayas

Never send money to companies. Jobs on Himalayas will never require payment from applicants.

Ninja Analytics is seeking two (2) Data Scientist/ AI Solutions Architect interns for a paid 10- to 12-week Summer 2026 Internship

Ninja Analytics, Inc. is a data analytics and decision science-based company that provides design and implementation services to organizations with risk assessment, intelligence analysis, and systems integration needs. Our data scientists, developers, data engineers, trainers and program managers understand how to balance technical and business requirements with realistic commitments while leading projects that exceed expectations to successful completion.

We are excited to announce a summer 2026 student internship program in partnership with the School of Mathematical and Data Sciences at West Virginia University (WVU). The Summer 2026 Ninja internship will be conducted remotely and will provide students with practical mentorship and experience in the fast-paced, challenging, and competitive IT environment. Interns are expected to take ownership of projects to contribute to the company’s continued success. Interns will work with employees at various levels within the organization, providing opportunities to explore potential careers in multiple facets of the IT profession.

Interns will be assigned a mentor for internship guidance. The mentor will work with each intern to identify a selected area of concentration to help facilitate a broader view of the function and navigate the corporate, customer, and cultural landscapes. Toward the end of the summer, each intern will present an analytical product from their summer investigations.

We encourage resume submission as soon as possible - interviews are expected to start the week of April 27, 2026, with selections finalized by May 22, 2026.

Responsibilities Include:

Specific responsibilities will depend on the area of concentration. General responsibilities include:

  • Learning key technical skills and applying that knowledge to solve problems as directed.
  • Learning basic troubleshooting skills, quality assurance, and requirements interpretation.
  • Working alongside experienced team members and expanding knowledge developing the ability to demonstrate skills.
  • Building awareness and understanding of tools and processes and demonstrating use under direction.
  • Performing all other assigned tasks. The expected starting date for this position is flexible but generally will start around June 1, 2026.

    Qualifications and Desired Skills:
  • Actively pursuing a bachelor’s degree in a technology or computer-related field of study (e.g., Data Science, Computer Science, Computer Engineering, Mathematics, Physics, Statistics)
  • An interest in working with graph-based technologies, link analysis, financial analysis and illicit behavior detection.
  • Excellent oral and written communication skills.
  • Basic SQL, Python, and/or relevant computer languages.

· Ability to work remotely.

  • Excellent problem solving and analytical skills.
  • Detail-oriented, hardworking, and enthusiastic.
  • Security Clearance sponsorship may be available, if desired.

· U.S. Citizenship required

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Education

Bachelor degree

Location requirements

Hiring timezones

United States +/- 0 hours

About Ninja Analytics

Learn more about Ninja Analytics and their company culture.

View company profile

Every year, financial crimes cost the global economy trillions of dollars while threatening the integrity of financial systems worldwide. Ninja Analytics exists to change that - equipping organizations with the advanced analytical capabilities needed to detect fraud, combat money laundering, and safeguard the financial system from illicit actors.

Based in Leesburg, Virginia, Ninja Analytics is an information technology company that provides analytical and software development services to companies with Anti-Money Laundering (AML), fraud detection, trade surveillance, and systems integration needs. The company has established itself as a trusted partner to both large financial institutions and government agencies including the Financial Crimes Enforcement Network (FinCEN). Their team of data scientists, developers, and seasoned investigators combines behavioral targeting and adversarial modeling expertise with deep analytical, statistical, and machine learning capabilities to create data-driven solutions to complex operational problems.

Ninja Analytics is committed to creating sustainable, transparent systems to protect the global financial system. Their experts bring backgrounds in AML, Bank Secrecy Act compliance, terrorist financing detection, and fraud prevention. Through innovative tools, training programs like i2 Analyst Notebook certification, and Centers of Excellence in AI/ML and Cloud technologies, the company delivers solutions that provide actionable intelligence with immediate impact on the safety and security of organizations and their stakeholders.

Claim this profileNinja Analytics logoNA

Ninja Analytics

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

Remote companies like Ninja Analytics

Find your next opportunity by exploring profiles of companies that are similar to Ninja Analytics. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan