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Graduate Data Science Intern Jobs in Reston, VA (NOW HIRING)

2027 Summer Intern Associate

Bethesda, MD ยท Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Leesburg, VA ยท Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Fairfax, VA ยท Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

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Graduate Data Science Intern information

See Reston, VA salary details

$12

$23

$43

How much do graduate data science intern jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for graduate data science intern in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

Can I get a data science internship with no experience?

Graduate data science internships often accept candidates with limited or no professional experience if they demonstrate relevant skills such as programming in Python or R, understanding of statistics, and familiarity with data analysis tools. Building a portfolio through coursework, personal projects, or online certifications can improve chances of securing an internship without prior work experience.

Can you be an intern as a graduate?

Yes, graduate students can serve as data science interns, as many internship programs target individuals who have recently completed or are pursuing advanced degrees. Internships often require relevant skills such as programming in Python or R, and may have age or educational level prerequisites, but being a graduate does not disqualify you from applying.

What does a Graduate Data Science Intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

Is 20 an hour good for an internship?

For a Graduate Data Science Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require skills in programming, statistics, and data analysis. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating pay rates.

What types of projects do Graduate Data Science Interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many individuals start careers in data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be developed through online courses, certifications, and practical experience regardless of age.

What are the key skills and qualifications needed to thrive as a Graduate Data Science Intern, and why are they important?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Reston, VA? For Graduate Data Science Intern jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Reston, VA look for? The top searched job categories for Graduate Data Science Intern jobs in Reston, VA are:
What cities near Reston, VA are hiring for Graduate Data Science Intern jobs? Cities near Reston, VA with the most Graduate Data Science Intern job openings:
Infographic showing various Graduate Data Science Intern job openings in Reston, VA as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $48,698 per year, or $23.4 per hour.
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA โ€ข On-site

Other

Posted 11 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.ย 

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.ย ย 

*This position is currently full-time onsite at the customers Washington DC office.ย ย 

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.ย 
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries.ย 
  • Develop and implement AI/ML algorithms to solve real-world problems.ย 
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure.ย 
  • Create data visualizations and dashboards to present analytical insights effectively.ย 
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems. ย 
Qualifications
  • Current enrollment in a degree seeking program requiredย 
  • 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.ย 
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).ย 
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms.ย 
  • Strong analytical and problem-solving skills with the ability to work on complex datasets.ย 
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus.ย 
  • Strong communication and teamwork skills.ย 
  • 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.ย 

DESIRED QUALIFICATIONS/SKILLSย 

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

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.

Employment Type: OTHER