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Internship Summer Math Jobs in Washington (NOW HIRING)

Segal Group

Health Intern

Washington, DC · Hybrid

$18 - $28/hr

We are recruiting Summer 2026 Interns for our Atlanta, Boston, Hartford and Washington, DC offices ... Pursuit of your undergraduate or graduate degree in Business, Actuarial Science, Mathematics ...

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Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA • On-site

Other

Posted 2 days ago

Job description

Overview
LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients.
This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.
*This position is currently full-time onsite at the customers Washington DC office.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Participate in research and development efforts focused on emerging AI and data science methodologies.
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries.
  • Develop and implement AI/ML algorithms to solve real-world problems.
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure.
  • Create data visualizations and dashboards to present analytical insights effectively.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.

Qualifications
  • Current enrollment in a degree seeking program required
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms.
  • Strong analytical and problem-solving skills with the ability to work on complex datasets.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus.
  • Strong communication and teamwork skills.
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance.

DESIRED QUALIFICATIONS/SKILLS
  • Experience working with Microsoft Excel and Access.
  • Experience with Visual Basic for Applications and Java is highly desirable.
  • Programming experience-ability to program and learn new programming languages quickly.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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