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Python Data Analysis Internship Jobs in Monee, IL

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm. Expertise in SQL, Python, data modeling, and ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... tasks, data quality analysis, data modelling, monitoring, and automation. Qualifications ...

Next Step Systems

Python Software Engineer

Chicago, IL · On-site

Python Software Engineer, Chicago, IL A proprietary trading firm with three locations in Chicago ... tasks, data quality analysis, data modelling, monitoring, and automation. This position will be ...

Kemper

Python Engineer Manager

Downers Grove, IL

Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify ... Python development, with experience creating python-based applications utilizing clean code ...

Danaher

Digital Analyst Internships

Joliet, IL · On-site

$95K - $112K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Chicago, IL · On-site

$101K - $120K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Python Data Analysis Internship information

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How much do python data analysis internship jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for python data analysis internship in Monee, IL is $21.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $23.70 per hour, depending on experience, location, and employer.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

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

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

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

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What cities near Monee, IL are hiring for Python Data Analysis Internship jobs? Cities near Monee, IL with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you
AI Analyst Intern

AI Analyst Intern

The Lanco Group of Companies

Homewood, IL • On-site

Full-time

Posted 3 days ago

Job description

We are seeking a motivated and analytical AI Analyst Intern to support our artificial intelligence labs initiative and data mining. This internship offers hands-on experience in data preprocessing, data analytics, and business intelligence insights. The ideal candidate is passionate about AI technologies, curious about solving real-world problems, and eager to learn in a collaborative environment.

Key Responsibilities:

  • Assist in data collection, cleaning, and preprocessing tasks for best AI fit analysis.
  • Support the development, testing, and evaluation of different AI solutions.
  • Research on how to create visuals and dashboards using tools like Python (Matplotlib, Seaborn), Power BI, or Tableau.
  • Collaborate with data analysts, engineers, and business analysts to understand project requirements.
  • Contribute to documentation of methodologies, model performance, and technical processes.
  • Conduct research on AI trends, tools, and industry applications to support ongoing innovation.
  • Perform quality checks and validation of AI outputs and data pipelines.
  • Create a final summary report after the end of the Internship program with best practices and recommendations.

Qualifications:

  • Currently pursuing a bachelor’s or minor degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
  • Good understanding of data structures, algorithms, and statistical concepts.
  • Experience with Python or R; familiarity with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch is a plus.
  • Basic knowledge of SQL and database concepts.
  • Excellent analytical thinking and problem-solving abilities.
  • Strong communication and teamwork skills.
  • Curiosity and a willingness to learn quickly in a fast-paced environment.

Preferred Skills (Bonus):

  • Prior AI Project work performed at a school or university.
  • Familiarity with cloud platforms (AWS, Azure, GCP) or operating systems.
  • Prior coursework or projects related to machine learning or AI

Benefits:

  • Mentorship from experienced professionals in AI and Data Science.
  • Real-world project experience with measurable impact.
  • Networking opportunities with tech and analytics teams.
  • Possible pathway to a full-time role upon graduation.

Lanco is an equal opportunity employer.  All employment-related decisions, including but not limited to hiring, compensation, promotion, discipline (including termination), evaluation, training and development opportunities, etc., are made without discrimination on the basis of race, color, sex, sexual orientation, gender-related identity, pregnancy, national origin, ancestry, religion, age, military status, protected disability, citizenship, genetic information or any other category protected by applicable law.

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