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Intern Python Data Science Jobs in Wheaton, IL (NOW HIRING)

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

$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 · On-site

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

Point72

Data Scientist

Chicago, IL

Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or a comparable language) and ...

Thoughtworks

Principal Data Scientist

Chicago, IL · On-site

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 ...

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 ...

Thoughtworks

Principal Data Scientist

Chicago, IL · On-site

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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All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Wheaton, IL

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

As of Jul 9, 2026, the average hourly pay for intern python data science in Wheaton, IL is $21.75, 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 are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

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

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
What are the most commonly searched types of Python Data Science jobs in Wheaton, IL? The most popular types of Python Data Science jobs in Wheaton, IL are:
What job categories do people searching Intern Python Data Science jobs in Wheaton, IL look for? The top searched job categories for Intern Python Data Science jobs in Wheaton, IL are:
What cities near Wheaton, IL are hiring for Intern Python Data Science jobs? Cities near Wheaton, IL with the most Intern Python Data Science job openings:
Intern Python Data Science jobs near you
Data Scientist

Data Scientist

Ulta Beauty

Bolingbrook, IL • On-site

$102K - $130K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 19 days ago

Ulta Beauty rating

6.1

Company rating: 6.1 out of 10

Based on 1,003 frontline employees who took The Breakroom Quiz

10th of 23 rated health and beauty retailers

Job description

OVERVIEW
Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.
We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty.
THE IMPACT YOU CAN MAKE:
This Data Scientist is an integral part of the Data Science and Machine Learning practice within our Enterprise AI team at Ulta Beauty. This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by mining our rich data assets to develop features, conducting statistical analyses, building DS/ML models, and constructing large scale prediction systems in a fast-paced, data-focused retail environment. The Data Scientist will also act as a subject matter expert, communicating the value and tackling the application of advanced analytics for various use cases with multiple stakeholders across Ulta Beauty.
YOU'LL ACCOMPLISH THESE GOALS BY:
  • Design and develop data science and machine learning models to optimize operational tactics, marketing messages, and guest experiences, while generating efficiencies across Ulta Beauty
  • In addition to classical statistical methods, research and implement new machine learning approaches and techniques to drive innovative solutions that solve business problems
  • Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform, and 46M+ Ultamate Rewards loyalty program members to construct analytical solutions that enable data-driven decisions
  • Partner with the AI Engineering and Architecture peers, contributing the Data Science perspective in cross-functional discussions
  • Engage with business and product stakeholders to refine requirements into a concrete, technical scope
  • Explain and present complex analytical approaches and model results in a concise manner to drive alignment and outcomes from business partners
  • Ensure data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration and data audits
  • Continue driving a data-driven culture and contribute to the creation of enterprise AI capabilities and platforms that power Ulta Beauty's future
ESSENTIALS FOR SUCCESS:
  • 2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
  • Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc. Equivalent professional experience will be considered.
  • In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
  • Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
  • Hands-on experience designing, deploying, and maintaining machine learning pipelines
  • Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
  • Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
  • Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
  • Passion for broadening your technical skills and diving into unknown problems

PREFERRED QUALIFICATIONS:
  • Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP
  • Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
  • Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g., Tensorflow, Torch, etc.)
  • Understanding of causal and uplift models
  • Prior work in retail, e-commerce, or consumer-facing technology environments

The pay range for this position is $102,900.00 - $130,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta
ABOUT
At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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