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Internship Python Data Science Jobs in Downers Grove, IL

1872 Consulting

Data Scientist

Chicago, IL · Hybrid

... a Data Science, Client or Data Engineering role * Must have at least 2 years of experience with predictive analytics * Must have strong Python experience, and experience with the PyData stack ...

Quanta Search

Data Scientist

Chicago, IL · On-site

Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their ...

HNI

Sr. Data Scientist

Chicago, IL · Remote

Demonstrated success delivering end-to-end data science solutions in a production environment. * Deep hands-on expertise with SQL and Python.. * Strong experience working in cloud-based environments ...

fairlife

Data Engineer Intern (Summer 2026)

Chicago, IL · Hybrid

about our internship program: The fairlife Summer Internship Program is designed to welcome interns ... Science, Statistics, Engineering, or related field * Foundational knowledge of Python, R, or SQL ...

Kaav Inc.

Data Scientist

Chicago, IL · On-site

Techinical Skills Required: - Excellent python skills (numpy/pandas/matplotlib/sklearn), version ... Education & Experience Required: - Bachelor's Degree (Data Science, Analytics, Computer Science ...

Varsity Tutors

Python Tutor

Wheaton, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Oak Lawn, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Des Plaines, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Buffalo Grove, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Naperville, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Chicago, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Schaumburg, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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

As of May 28, 2026, the average hourly pay for internship python data science in Downers Grove, IL is $22.45, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 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 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 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 Downers Grove, IL? The most popular types of Python Data Science jobs in Downers Grove, IL are:
What are popular job titles related to Internship Python Data Science jobs in Downers Grove, IL? For Internship Python Data Science jobs in Downers Grove, IL, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Downers Grove, IL look for? The top searched job categories for Internship Python Data Science jobs in Downers Grove, IL are:
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Internship Python Data Science jobs near you

Data Science & AI Senior Manager

Suntory Global Spirits

Chicago, IL • On-site

Other

Medical, Retirement

Posted 7 days ago

Job description

At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day.

What makes this a great opportunity?

This role sits at the intersection of Data Science, Artificial Intelligence, business strategy, and execution. 

As the Senior Manager of Data Science & AI, you will lead high-impact analytics and AI initiatives that directly influence commercial performance. You will partner closely with stakeholders across Commercial, Strategy, and Supply Chain to design, build, and scale data-driven solutions, ranging from experimentation and statistical modeling to machine learning and AI applications. 

This is a hands-on leadership role for someone who combines strong statistical and technical depth with excellent project management and communication skills. You will own initiatives end-to-end, translating business problems into analytical solutions and ensuring they are successfully delivered, adopted, and scaled. 

Role Responsibilities

Applied Data Science, AI & Business Impact 
Lead development of advanced analytics and AI solutions, including recommendation systems, sales and demand models, and computer vision use cases. Translate business problems into structured analytical approaches and deliver measurable impact in partnership with business stakeholders. 

Experimentation & Statistical Excellence 
Design and lead A/B testing and experimentation programs. Ensure statistical rigor and establish best practices for test design, measurement, and interpretation. 

Project Leadership & Stakeholder Management 
Own projects end-to-end from scoping through delivery and adoption. Partner closely with stakeholders, manage multiple priorities, and deliver clear, executive-level presentations. 

Technical Leadership & Data Science Practices 
Contribute hands-on to analysis and model development. Establish standards for code quality, reproducibility, and collaboration. Define a data science-focused SDLC and partner with engineering to deploy scalable solutions. 

AI Enablement & Innovation 
Apply modern AI techniques, including generative AI, where they drive clear value. Help build sustainable AI and data science capabilities. 

Qualifications

Education 
Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Data Science, Mathematics, or Computer Science. 

Experience 
7-10+ years in Data Science, AI, or advanced analytics with a track record of delivering end-to-end projects with measurable impact. Experience working closely with business stakeholders is required. 

Technical Proficiency 
Strong Python and SQL skills with hands-on experience in Databricks and PySpark. Experience building and deploying production models is required. Familiarity with computer vision, APIs, and diverse data sources is preferred. Experience with version control and modern development practices is expected. 

Leadership & Communication 
Strong project management and organizational skills with the ability to manage multiple initiatives. Excellent stakeholder communication and the ability to translate analytics into business insights. Strong PowerPoint and presentation skills required. 

Strategic & Commercial Acumen 
Ability to translate data science and AI into business value, with a track record of driving growth, efficiency, and competitive advantage. 

Innovation Mindset 
Experience applying emerging AI and data science methods to deliver practical business impact. 

Preferred Qualifications 

Industry Knowledge 
Experience in CPG, beverage, or a similar industry is preferred. 

 

Salary Range - The salary range for this role, based in Chicago, Illinois is $135-145k, along with an annual bonus, 401K match, profit sharing, and medical and wellness benefits. The salary range is commensurate with the candidate's location, experience, and skillset. The range will vary if outside of this location.

While relocation, immigration, and/or tax compliance support are not guaranteed, we may offer assistance to successful candidates depending on factors such as role requirements in accordance with company guidelines.

At Suntory Global Spirits, people are our number one priority, and we believe our people grow together in diverse and inclusive environments where their unique insights, experiences and backgrounds are valued and respected. Suntory Global Spirits is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, military veteran status and all other characteristics, attributes or choices protected by law. All recruitment and hiring decisions are based on an applicant's skills and experience.

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