1

Internship Python Pandas Jobs in Columbus, OH (NOW HIRING)

Experience with common Python libraries such as Pandas, NumPy, and Scikit-learn. * Strong ... Academic, internship, Kaggle, or personal machine learning projects. * Familiarity with cloud ...

New

Internship Python Pandas information

See Columbus, OH salary details

$12

$56

$83

How much do internship python pandas jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship python pandas in Columbus, OH is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What is an internship Python Pandas?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What is the difference between Internship Python Pandas vs Data Analyst?

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are the most commonly searched types of Python Pandas jobs in Columbus, OH? The most popular types of Python Pandas jobs in Columbus, OH are:
What are popular job titles related to Internship Python Pandas jobs in Columbus, OH? For Internship Python Pandas jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Internship Python Pandas jobs in Columbus, OH look for? The top searched job categories for Internship Python Pandas jobs in Columbus, OH are:
Infographic showing various Internship Python Pandas job openings in Columbus, OH as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, and 7% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,774 per year, or $56.6 per hour.

Junior Data Scientist

ComResource

Columbus, OH • On-site

Other

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


Job description

Location: Columbus, OH (Hybrid – onsite several days per week with flexibility)


Position Overview

ComResource is seeking a Junior Data Scientist. This is an excellent opportunity for a recent college graduate or early-career Data Scientist looking to gain hands-on experience building predictive models, working with machine learning, and supporting AI initiatives in a collaborative environment.


You'll work alongside experienced Data Science leaders on projects that drive business decisions through predictive analytics and forecasting. If you're curious, eager to learn, and passionate about solving business problems with data, this role offers an outstanding opportunity to grow your career.


Key Responsibilities

  • Build, test, and improve predictive machine learning models.
  • Analyze large datasets to uncover trends and actionable insights.
  • Support forecasting initiatives, including demand planning, cash flow, and treasury forecasting.
  • Perform data preparation, feature engineering, and model optimization.
  • Assist with deploying and monitoring machine learning models in production.
  • Collaborate with Data Engineers and cross-functional teams to build scalable analytics solutions.
  • Translate business challenges into data-driven recommendations.
  • Stay current on emerging AI, machine learning, and analytics technologies.


Required Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field.
  • Recent graduate or 0-3 years of Data Science experience (internships, co-ops, research, or professional experience).
  • Strong programming skills in Python.
  • Experience writing SQL queries.
  • Understanding of machine learning concepts such as regression, classification, and time series forecasting.
  • Experience with common Python libraries such as Pandas, NumPy, and Scikit-learn.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Eagerness to learn and grow in a team environment.


Preferred Qualifications

  • Exposure to Databricks.
  • Experience with Git or other version control tools.
  • Academic, internship, Kaggle, or personal machine learning projects.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Interest in AI, predictive analytics, and forecasting.


Note to Agency Recruiters: ComResource will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any ComResource colleagues, directly or indirectly, will be considered ComResource property.