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Data Science Startup Internship Jobs in Silver Spring, MD

... Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the ...

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...

... Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the ...

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

Associate Data Scientist

Washington, DC · On-site

$66.80K - $67.40K/yr

... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...

Associate Data Scientist

Washington, DC

$66.80K - $67.40K/yr

... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...

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Data Science Startup Internship information

See Silver Spring, MD salary details

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How much do data science startup internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science startup internship in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What is a Data Science Startup Internship job?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What are the key skills and qualifications needed to thrive in the Data Science Startup Internship position, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

What types of projects or tasks can I expect to work on during a Data Science Startup Internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.
What are popular job titles related to Data Science Startup Internship jobs in Silver Spring, MD? For Data Science Startup Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Science Startup Internship jobs in Silver Spring, MD look for? The top searched job categories for Data Science Startup Internship jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Science Startup Internship jobs? Cities near Silver Spring, MD with the most Data Science Startup Internship job openings:
Infographic showing various Data Science Startup Internship job openings in Silver Spring, MD as of May 2026, with employment types broken down into 33% Internship, 31% Full Time, 18% Part Time, and 18% Temporary. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Data Science Intern (USPS) - Summer 2026

LMI Consulting, LLC

Tysons, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Science Intern (USPS) - Summer 2026
Job Locations US-VA-Tysons | US-DC-Washington, DC
Job ID 2026-13490
# of Openings 6
Category Internships
Benefit Type Hourly Low Fringe/Intern
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.


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@lmi.org
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.
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