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Internship Python Data Science Jobs in Buffalo Grove, IL

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

Thus, bookending the "data science" itself, you will be responsible for communicating with ... Proficiency in R, Python, Spark (pySpark, Spark Scala), or related languages for the application of ...

Thus, bookending the "data science" itself, you will be responsible for communicating with ... Proficiency in R, Python, Spark (pySpark, Spark Scala), or related languages for the application of ...

This will involve using SQL, Python, Excel, and various reporting tools. * Partner with the IT team to assist in the implementation of new datalake. * Support data science initiatives by developing ...

New

This will involve using SQL, Python, Excel, and various reporting tools. * Partner with the IT team to assist in the implementation of new datalake. * Support data science initiatives by developing ...

New

What you'll do: Advanced Data Science Manager in AI will... * Lead and mentor a team of data ... Python/R); * Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure)

Data Scientist

Chicago, IL · On-site

$139.82 - $144.82/hr

Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab. * Jira, Asana, and Confluence Ref Job Title: Data Scientist $139 ...

New

VP of Data Science

Chicago, IL · On-site

$180 - $320/hr

Strong Python and modern ML/statistical tooling; comfortable operating on a cloud data stack * Experience building and scaling a data science team * Prior experience with panel‑based or modeled ...

Posted today

... Python, SQL,and Spark, formalizing some of these efforts into repeatable process improvements ... Leadnewenvironment setup on behalf of data science teams. As a projectleader,you willtakeownership ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake ...

Data Scientist

Chicago, IL · On-site

$139.82 - $144.82/hr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... Python, R, SQL, Tableau and Power BI.* Cloud environments including: AWS, Azure, and GCP Data Lake ...

New

Data Science Fellow

Chicago, IL · On-site

$51.90 - $87.90/hr

You will be responsible for data science projects across the healthcare domains of clinical ... Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

Showing results 41-60

Internship Python Data Science information

See Buffalo Grove, IL salary details

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

As of Sep 4, 2026, the average hourly pay for internship python data science in Buffalo Grove, IL is $23.08, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $25.14 per hour, depending on experience, location, and employer.

What is an internship Python data science?

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 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 are the key skills and qualifications needed to thrive as an internship Python data science?

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 are the most commonly searched types of Python Data Science jobs in Buffalo Grove, IL?

The most popular types of Python Data Science jobs in Buffalo Grove, IL are:

What job categories do people searching Internship Python Data Science jobs in Buffalo Grove, IL look for?

The top searched job categories for Internship Python Data Science jobs in Buffalo Grove, IL are:

What cities near Buffalo Grove, IL are hiring for Internship Python Data Science jobs?

Cities near Buffalo Grove, IL with the most Internship Python Data Science job openings:

Infographic showing various Internship Python Data Science job openings in Buffalo Grove, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $48,005 per year, or $23.1 per hour.

Associate Data Scientist

UL Solutions

Northbrook, IL • On-site

$60K - $60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


UL Solutions rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

32nd of 121 rated laboratories


Job description


The Associate Data Scientist works with business stakeholders and technical teams to transform data into meaningful insights that support operational and strategic decision-making. This role contributes to analytics, reporting, visualization, and data science initiatives while gaining hands-on experience with modern analytics tools, data platforms, and methodologies. The ideal candidate is analytical, detail-oriented, and eager to develop their skills in a collaborative, data-driven environment.
Responsibilities
  • Collect, clean, validate, and maintain data to ensure accuracy, quality, and reliability for reporting and analysis.
  • Perform ad-hoc and recurring analyses to identify trends, patterns, and business insights.
  • Prepare datasets and assist in exploratory data analysis to support business and operational initiatives.
  • Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, or similar tools.
  • Support the development, testing, validation, and monitoring of predictive and statistical models under the guidance of senior team members.
  • Apply basic statistical techniques to analyze data and support business decision-making.
  • Assist in integrating and preparing data from multiple internal and external data sources.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
  • Document business requirements, user stories, and analytical processes.
  • Communicate analytical findings and recommendations to both technical and non-technical audiences.
  • Support data quality initiatives and help identify opportunities to improve data collection processes.
  • Partner with data engineering and development teams to support analytics and reporting initiatives.
  • Use SQL, Python, Excel, and other analytical tools to support data analysis and reporting activities.
  • Participate in Agile ceremonies and use Azure DevOps to track work items and project progress.
  • Adhere to the Underwriters Laboratories Code of Conduct and follow all security, data governance, and compliance requirements.

Qualifications
Required
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field
  • 0-2 years of experience in data analytics, business analytics, or data science roles
  • Experience through internships, academic projects, or professional work involving data analysis and reporting
  • Working knowledge of SQL and Python
  • Experience with Power BI, Excel, or similar data visualization tools
  • Understanding of basic statistical concepts and data analysis techniques
  • Strong analytical, problem-solving, and critical-thinking skills
  • Strong attention to detail and commitment to data quality
  • Ability to communicate findings clearly to technical and non-technical audiences
  • Experience gathering, documenting, and interpreting business requirements
  • Familiarity with Agile methodologies and tools such as Azure DevOps or Jira
  • Ability to work collaboratively with cross-functional business and technical teams

Preferred
  • Experience working with cloud-based data platforms such as Azure, Snowflake, etc.
  • Familiarity with software development lifecycle (SDLC) concepts and version control tools
  • Exposure to AI-assisted analytics, generative AI, or emerging data science technologies
  • Experience working with enterprise data environments and data governance practices

What you'll experience working for ULS
UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.
That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.
This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.
Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.
Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com
Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $62,700 to $83,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 5% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday and personal days (totaling 12 days) and sick time off (72 hours).
#LI-SG2
#LI-Remote
Applications will be accepted until 2/2/27
About Us
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
About the Team
If you like getting out and about, you'll love being part of our Field Engineering team. We travel to companies and manufacturing facilities all over the world to carry out risk-based inspections and ensure the integrity of existing certifications - we perform over 3,000 site visits every single day. It could be testing the fire doors at a school, checking a fire truck or even inspecting the New Year's Eve ball in Times Square. Every day's different and there's always a new challenge to face. If you love an adventure, join our team and take your career to new and exciting places.

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