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Intern Python Data Science Jobs in Woodstock, VA

Pisces Healthcare Solutions

AI Developer

Winchester, VA · On-site

$100K - $130K/yr

... Data Science, or related field. * 3-7+ years of experience in AI/ML engineering, software development, or related technical roles. * Strong proficiency in Python and experience with AI/ML frameworks.

Pisces Healthcare Solutions

AI Developer

Winchester, VA · Remote

$100K - $130K/yr

... Data Science, or related field. * 3-7+ years of experience in AI/ML engineering, software development, or related technical roles. * Strong proficiency in Python and experience with AI/ML frameworks.

Pisces Healthcare Solutions

AI Developer

Winchester, VA · On-site

$100K - $130K/yr

... Data Science, or related field. * 3-7+ years of experience in AI/ML engineering, software development, or related technical roles. * Strong proficiency in Python and experience with AI/ML frameworks.

Global Payments

Senior Cisco ACI Engineer

Broadway, VA · On-site

$101K - $139K/yr

Cisco certifications such as CCNP Data Center or CCIE Data Center. * Experience with Nexus ... Bachelor's degree in Computer Science, Information Technology, or related field. * 7+ years of ...

All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Woodstock, VA

Intern Python Data Science information

See Woodstock, VA salary details

$12

$22

$42

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

As of Jul 28, 2026, the average hourly pay for intern python data science in Woodstock, VA 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

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.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
Intern Python Data Science jobs near you
Intern - Year Round (Business Intelligence Analyst)

Intern - Year Round (Business Intelligence Analyst)

Navy Federal Credit Union

Winchester, VA • On-site

Other

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

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services

Job description

Overview

To gain valuable insight into Navy Federal's business, technology, resources and procedures by providing support in focused areas, applying knowledge and education. Participate in a collaborative, team driven network and interact with multiple departments. Receive guidance and direction from team and management. Utilize and further develop technical and soft skills, business knowledge, analytical techniques and creative problem solving abilities. Provide professional execution of day to day tasks and special projects while working within established standards, policies and procedures. This is a year-round, Full or Part -Time, flexible internship based on school schedule.

Our Digital Analytics Department is focused on delivering actionable insights to support our mobile app and online banking operations. We perform analysis that help business and app developer teams enhance user experience and optimize performance.

We are seeking a motivated and talented year-round intern to join our growing team. This role involves working with senior team members, department leaders, and business units to support research and development efforts using digital and financial data. You'll help explore and summarize data to enhance our business intelligence, generate insights into customer digital behavior, analyze mobile app and website usage trends, and examine customer sentiment.

****A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by adding them to the "Intern Proof of Enrollment" section of the application.

Responsibilities

  • Perform research and exploratory analysis on competitive intelligenceand emerging trends in mobile banking domain involving quantitative and/or qualitative analysis
  • Explore datasets with existing available technologies and tools
  • Write code in SQL or Python to summarize and analyze data
  • Group data, assess trends, and analyze and interpret results with some complexity
  • Develop data dictionaries and STTM documentation to improve data usability
  • May leverage data science techniques such as logistic regression, machine learning, or forecasting for more advanced insights
  • Collaborate with business intelligence and data science team members
  • Participate in team project planning and Agile/Kanban stand-ups
  • Utilize effective written and verbal communication to document and present findings
  • Perform other duties as assigned

Qualifications

Required Qualifications

  • Must be pursuing a degree from an accredited college/university
  • Strong knowledge of data gathering, compilation, data management
  • Knowledge of statistics and data science use cases
  • Ability to learn and use data and cloud environments such as Azure and Databricks
  • Technical writing skills
  • Communication and data storytelling presentation skills of technical material
  • Ability to collaborate and build relationships
  • Effective organizational, planning and time management skills
  • Ability to work independently and in a team environment

Desired Qualifications

  • Programming abilities in SQL, Python, R, or similar languages in data exploration, data preparation, modeling, prediction, and statistical analysis
  • Area of academic study in analytical discipline such as economics, finance, data science, statistics, mathematics, or degrees in similar quantitative fields

Hours:

  • Monday - Friday, 8:00AM - 4:30PM (Part-Time at least 20 hrs/week)

Location:

  • 820 Follin Lane SE Vienna, VA 22180
  • 141 Security Drive Winchester, VA 22602

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. * FORTUNE 100 Best Companies to Work For 2026 * Yello and WayUp Top 100 Internship Programs 2025 * Computerworld Best Places to Work in IT 2026 * Most Loved Workplace - America's Top Most Loved Workplaces 2025 * 2025 PEOPLE Companies That Care * Newsweek Most Trustworthy Companies in America 2026 * Military Times 2025 Best for Vets Employers * Forbes 2026 America's Best Large Employers * Forbes 2025 America's Best Employers for New Grads * Forbes 2025 America's Best Employers for Tech Workers * 2025 RippleMatch Campus Forward Award Winner for Overall Excellence * Military.com Top Military Spouse Employers 2025 * 2026 Handshake Early Talent Award * Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026 From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law. Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site. Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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