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Intern Python Data Science Jobs (NOW HIRING)

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Experience with Python data science and visualization packages * Experience with Excel MBA * Experience with AC2SP, R, GitHub, and Palantir * An active CI polygraph ABOUT NALLEY CONSULTING Nalley ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Experience with Python data science and visualization packages * Experience with Excel MBA * Experience with AC2SP, R, GitHub, and Palantir * An active CI polygraph ABOUT NALLEY CONSULTING Nalley ...

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

As of Jun 8, 2026, the average hourly pay for intern python data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

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

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

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Intern Python Data Science jobs near you
Infographic showing various Intern Python Data Science job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 43% Full Time, 54% Part Time, 1% Temporary, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA

Internship

Posted 2 days ago

Job description

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., 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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