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Intern Python Data Science Jobs in Woodstock, VA

Actalent

AI Governance SME

Washington, VA

Experience in data science, including working with data to support analytical and AI-driven ... Python, Node.js, Docker, Kubernetes, and relational and non-relational databases including ...

New

Actalent

AI Governance SME

Washington, VA

Experience in data science, including working with data to support analytical and AI-driven ... Python, Node.js, Docker, Kubernetes, and relational and non-relational databases including ...

New

Actalent

AI Governance SME

Washington, VA · On-site

Experience in data science, including working with data to support analytical and AI-driven ... Python, Node.js, Docker, Kubernetes, and relational and non-relational databases including ...

New

Global Payments

Senior Cisco ACI Engineer

Broadway, VA

$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 3, 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.
What cities near Woodstock, VA are hiring for Intern Python Data Science jobs? Cities near Woodstock, VA with the most Intern Python Data Science job openings:
Intern Python Data Science jobs near you
Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Databricks

Washington, VA • On-site

$58.25 - $75/hr

Full-time

Posted 8 days ago

Job description

Job Summary:
Databricks is the data and AI company that provides a unified analytics platform. The Sr. Solutions Engineer will lead the growth of the platform by partnering with customers, providing technical leadership, and consulting on big data architecture while building strong relationships.
Responsibilities:
• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
Qualifications:
Required:
• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Secret security clearance or willingness to obtain one
Preferred:
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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