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Python Data Wrangler Internship Jobs in Rosemont, IL

... in Python or R for statistical modeling and data wrangling. • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms. • 4+ years of ...

AI and Data Science Engineer III

Chicago, IL · On-site

$118K - $141K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication skills with the ability to convey complex analytical insights to diverse audiences. The wage range for ...

... SQL/Python to develop analytical solutions • 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis • Experience with managing, recruiting, training, developing ...

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... Python skills; experience with data wrangling, transformation, and automation. • Familiarity with financial concepts such as revenue recognition, fee structures, and advisor compensation. • ...

Senior Analyst, Data & Reporting

Chicago, IL · On-site +1

$88K - $111K/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, ...

Senior Analyst, Data & Reporting

Chicago, IL · On-site

$88K - $111K/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, ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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.
Infographic showing various Python Data Wrangler Internship job openings in Rosemont, IL as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Chicago, IL • On-site

Full-time

Posted 16 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are hiring a Senior Consultant in Data Science to join their Human Capital practice, focusing on building and delivering data-driven products and solutions for workforce analytics.
Responsibilities:
• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
Qualifications:
Required:
• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
• 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available
Preferred:
• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
• Proficiency in Python or R for statistical modeling and data wrangling.
• Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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