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Internship Python Data Science Jobs in Saint Charles, IL

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Thoughtworks

Principal Data Scientist

Chicago, IL

You will identify and prioritize data science projects that align with business objectives and ... You have experience with R, Python or equivalent statistical/data analysis tools and can write ...

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

As of Jul 13, 2026, the average hourly pay for internship python data science in Saint Charles, IL is $22.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Saint Charles, IL? The most popular types of Python Data Science jobs in Saint Charles, IL are:
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Data Analyst II - Statistics and Data Science - Hybrid Chicago Loop Office

Data Analyst II - Statistics and Data Science - Hybrid Chicago Loop Office

NORC at the University of Chicago

Chicago, IL • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Data Analyst II - Statistics and Data Science - Hybrid Chicago Loop Office

Apply now Job no: 503874 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Statistics and Data Science

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python.

As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office.

DEPARTMENT:  Statistics and Data Science

The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI)  that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects.

RESPONSIBILITIES:
  • Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities.
  • Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation
  • Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries.
  • Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations.
  • Perform various types of data analysis and modeling, often involving multiple data sets.
  • Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics.
  • Apply AI tools to help improve efficiency.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required.
  • Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization.
  • At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming[SP1] , and data mining
  • Strong foundation in areas of statistics, mathematics, and data science.
  • Coding skills in SAS, R, and Python required.
  • Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred.
  • Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred.
  • Strong skills in problem solving and quantitative analysis are required.  Able to organize and prioritize work assignments to meet project needs.
  • Outstanding interpersonal and critical reasoning skills.
  • Proficiency with MS Office software.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
SALARY AND BENEFITS:

The pay range for this position is $72,000 - $88,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: July 9, 2026 Central Daylight Time Applications close:

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