Data Science Intern; USPS - Summer

Data Science Intern (USPS) - Summer 2026

Job Location s: US-VA-Tysons | US-DC-Washington, DC

Job :  | # of Openings: 1 | Category:
Internships | Benefit Type:
Hourly Low Fringe/Intern

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.

• 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.

• 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., Tensor Flow, 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.

• 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.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

If you are a person with a disability needing assistance with the application process, please contact accommodations

Colorado Residents:
In any materials you submit, you may redact or remove age‑identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.