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Python Data Wrangler Internship Jobs in Chicago, IL

HONK

Sr. Analyst, Strategic Finance

Chicago, IL

$120K - $140K/yr

Automate the reporting grind (Looker / Excel / Python) so your time goes to insight, not data wrangling. What You Bring * 4-6 years in corporate finance, business operations/analytics, investment ...

HONK

Sr. Analyst, Strategic Finance

Chicago, IL · On-site

$120K - $140K/yr

Automate the reporting grind (Looker / Excel / Python) so your time goes to insight, not data wrangling. What You Bring * 4-6 years in corporate finance, business operations/analytics, investment ...

Novus Print Media

Senior Analyst, Analytics

Chicago, IL · On-site +1

$90K - $120K/yr

Working knowledge of Python for data wrangling, automation, or analysis * Understanding of core media metrics and how they are measured differently across platforms (impressions, CPM, ROAS, CPA, ...

NOVUS

Senior Analyst, Analytics

Chicago, IL · On-site

$90K - $120K/yr

Working knowledge of Python for data wrangling, automation, or analysis * Understanding of core media metrics and how they are measured differently across platforms (impressions, CPM, ROAS, CPA, ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

... internships or equivalent projects) * Ability to write production-quality SQL and create reliable ... Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

MessageControl

Data Scientist

Chicago, IL

Must have at least 3 years of professional experience outside of academic or internship settings ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Operating as a true playground for data engineers, we leverage a modern stack including Python ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Operating as a true playground for data engineers, we leverage a modern stack including Python ... At least 4 years of experience in application development (Internship experience does not apply)

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All JobsPython Data Wrangler JobsPython Data Wrangler Internship JobsPython Data Wrangler Internship Jobs in Chicago, IL

Python Data Wrangler Internship information

What is the difference between Python Data Wrangler Internship vs Data Analyst Intern?

AspectPython Data Wrangler InternshipData Analyst Intern
Required SkillsPython, data cleaning, scriptingExcel, SQL, basic statistics
Work EnvironmentData preprocessing, scripting tasksData analysis, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

The Python Data Wrangler Internship focuses on data cleaning and scripting using Python, ideal for those interested in data preprocessing roles. In contrast, Data Analyst Internships involve analyzing data and creating reports, often requiring Excel and SQL skills. Both roles are common in tech and business sectors, but they serve different stages of data handling and analysis.

What are the key skills and qualifications needed to thrive as a Python Data Wrangler intern, and why are they important?

To thrive as a Python Data Wrangler Intern, you need a solid understanding of Python programming, data manipulation, and foundational knowledge in statistics or data science. Familiarity with tools such as pandas, NumPy, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for efficiently cleaning, transforming, and interpreting data to support accurate analysis and collaborative project work.

What are some typical projects or tasks assigned to Python Data Wrangler interns, and how do these contribute to the overall data team?

As a Python Data Wrangler intern, you are likely to work on projects involving data cleaning, transformation, and integration from multiple sources. Typical tasks include writing scripts to automate data preprocessing, identifying and correcting inconsistencies, and ensuring data integrity for analytics pipelines. You'll often collaborate closely with data analysts, data engineers, and sometimes machine learning teams to prepare datasets that drive business insights. These contributions are vital, as high-quality, well-structured data forms the foundation for all downstream analytics and decision-making within the organization.

What does a Python Data Wrangler intern do?

A Python Data Wrangler Intern is responsible for collecting, cleaning, organizing, and preparing data for analysis, primarily using Python programming. Their work involves writing scripts to handle messy or unstructured data from various sources, ensuring it is accurate and usable for data science or analytics teams. Tasks may include automating data extraction, transforming data formats, and collaborating with team members to support data-driven projects. This role provides hands-on experience with real-world datasets and tools commonly used in the industry.
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Python Data Wrangler Internship jobs near you
Infographic showing various Python Data Wrangler Internship job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Quantitative Developer Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 19 days ago

Job description

This is a 10 week internship available all seasons of the year.
What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.