1

Python Programming Intern Jobs in Missouri (NOW HIRING)

$18 - $50/hr

The intern will assist in the development of engineering datasets, digital thread demonstrations ... Experience with Python, scripting, or data analysis is a plus. * Strong analytical, communication ...

$18 - $50/hr

The intern will assist in the development of engineering datasets, digital thread demonstrations ... Experience with Python, scripting, or data analysis is a plus. * Strong analytical, communication ...

$18 - $50/hr

The intern will assist in the development of engineering datasets, digital thread demonstrations ... Experience with Python, scripting, or data analysis is a plus. * Strong analytical, communication ...

$18 - $50/hr

The intern will assist in the development of engineering datasets, digital thread demonstrations ... Experience with Python, scripting, or data analysis is a plus. * Strong analytical, communication ...

$18 - $50/hr

The intern will assist in the development of engineering datasets, digital thread demonstrations ... Experience with Python, scripting, or data analysis is a plus. * Strong analytical, communication ...

Showing results 41-60

Python Programming Intern information

What does a Python programming intern do?

A Python Programming Intern assists with software development tasks using the Python programming language. Typical responsibilities include writing and testing code, debugging software, collaborating with team members on projects, and learning best practices for coding and version control. Interns often work on real-world projects to gain hands-on experience and improve their programming skills. They may also participate in meetings, contribute to documentation, and support the development team in various tasks.

What skills and qualifications are needed to thrive as a Python programming intern?

To thrive as a Python Programming Intern, you need a foundational understanding of Python syntax, problem-solving abilities, and a basic grasp of software development principles, often evidenced by relevant coursework or personal projects. Familiarity with tools like Git, Jupyter Notebook, and frameworks such as Flask or Django is typically expected. Strong communication, eagerness to learn, and teamwork skills help interns adapt quickly and collaborate effectively. These skills and qualities are vital for successfully contributing to real-world projects, learning from mentors, and building a foundation for a software development career.

What types of projects can I expect to work on as a Python programming intern, and how are they typically structured?

As a Python Programming Intern, you will often be assigned to real-world projects such as data analysis scripts, web application features, or automation tools, depending on the organization's focus. These projects are usually structured with clear objectives and milestones, and you'll likely collaborate with more experienced developers through code reviews and regular check-ins. You can expect to work both independently and as part of a team, gaining exposure to professional codebases, version control systems like Git, and agile development practices. This hands-on experience is designed to help you build practical skills while contributing meaningfully to the team's goals.

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

AspectPython Programming InternData Science Intern
Required SkillsPython, basic programming, scriptingPython, statistics, data analysis
Work EnvironmentDevelopment projects, coding tasksData analysis, modeling, research
Industry UsageSoftware, tech companies, startupsFinance, healthcare, tech

The Python Programming Intern typically focuses on coding and software development using Python, often in tech or startup environments. In contrast, a Data Science Intern combines Python skills with data analysis and statistical methods to derive insights. Both roles require Python knowledge but differ in their focus and application areas, making them distinct yet related entry-level positions in the tech industry.

Intern - AI/ML Data Engineering - Onsite - St. Louis

Saint Louis, MO • On-site

Part-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Based in St. Louis, Core & Main is a leader in advancing reliable infrastructure with local service, nationwide. As a specialty distributor with a focus on water, wastewater, storm drainage and fire protection products and related services, Core & Main provides solutions to municipalities, private water companies and professional contractors across municipal, non-residential and residential end markets, nationwide. With over 370 locations across the U.S., the company provides its customers local expertise backed by a national supply chain. Core & Main's 5,700 associates are committed to helping their communities thrive with safe and reliable infrastructure. Visitcoreandmain.comto learn more.

Job Summary - St. Louis, MO onsite.

The AI/ML Intern will support the Data Engineering team in developing and applying machine learning and artificial intelligence solutions that enhance business operations, analytics, and decision-making.

This role will assist in building data pipelines, experimenting with machine learning models, and contributing to AI-driven initiatives such as forecasting, automation, and intelligent data processing.

The intern will work closely with data engineers, analytics teams, and business stakeholders to deliver proof-of-concept solutions and support the organization's growing AI/ML capabilities.

No sponsorships available.

Qualifications

Minimum Qualifications

  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Engineering
    • Mathematics or a related field
  • Basic understanding of programming (Python preferred)
  • Foundational knowledge of:
    • Statistics and machine learning concepts
    • Data analysis techniques

Preferred Qualifications

  • Experience with:
    • Python libraries (Pandas, NumPy, scikit-learn, PySpark)
    • SQL and data querying
    • Cloud platforms (Azure preferred)
    • Copilot Agents
    • Data visualization tools (Power BI or Tableau)
  • Exposure to:
    • Machine learning models (regression, classification, clustering)
    • Time series forecasting
    • Data pipelines or ETL/ELT processes
  • Familiarity with Git or version control
  • Strong problem-solving and analytical skills
  • Good communication skills with ability to explain technical findings

Preferably, YOU have

  • Demonstrated superior academic performance and strong analytical skills.
  • Graduate student
  • No more than 2 years of professional experience (excluding internships, or positions held prior to graduation).

HERE, we have:

  • Medical with 100% preventative care coverage
  • Health Savings Account
  • Dental and Vision
  • 401K
  • Tuition reimbursement and tuition grants
  • Continued learning opportunities through our onsite training facility and extensive online learning catalog
  • Professional development and industry networking opportunities, e.g., our Women's Network and community engagement events

Core & Main is an Equal Employment Opportunity employer. Employment at Core & Main is based solely on a person's merit and qualifications directly related to professional competence.Core & Main does not discriminate against any employee or applicant on the basis of race, creed, color, religion, national origin, nationality, ancestry, age, disability, veteran status, pregnancy or related condition (including breastfeeding), affectional or sexual orientation, gender identity or expression, marital status, status with regard to public assistance, citizenship, or any other basis protected by law.

None of the questions in this application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non-job-related information or protected characteristics.

For more information, please click here or visit https://www.eeoc.gov