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

Develop software, typically in Python, to independently acquire data from disparate sources ... Plan and execute data science training sessions and hackathonsWork with external parties (vendors ...

Lead the development and implementation of advanced data science models, algorithms, and data ... Python on cloud environments using distributed computing clusters (2 years) 7. Building and ...

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 ...

Lead the development and implementation of advanced data science models, algorithms, and data ... Python on cloud environments using distributed computing clusters (2 years) 7. Building and ...

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 ...

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 ...

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

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 ...

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... Use R and/or Python to build, maintain, and support loss models across different lines of business

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

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

As of Jun 18, 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 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.

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:

Senior Manager, Data Science

Chamberlain Group

Oak Brook, IL • On-site

$129K - $226K/yr

Full-time

Retirement

Posted 3 days ago


Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
Job Summary
This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support
Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leadersand has a tangible impact on the business.
Essential Duties and Responsibilities
  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
  • Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
  • Drive development and execution of the data science methodology and practices strategy.
  • Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
  • Be a catalyst for advanced analytics and data science across Chamberlain Group.
  • Educate business users on advanced analytical concepts.
  • Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
  • Identify and apply innovative analytical techniques to achieve business objectives.
  • Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.
  • Identify and manage the relationship with outside data science resources and vendors.
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Protect Chamberlain Group's reputation by keeping information confidential.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
  • Contribute to the team effort by accomplishing related results and participating on projects as needed.

Supervision Exercised
  • Motivate and lead a high performance team by attracting, developing, engaging and retaining team members
  • Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies
  • Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications
  • Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.

Minimum Qualifications
Education/Certifications:
  • Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:
  • 8+ years of relevant work experience; 2+ years directly managing data scientists
  • Knowledge, Skills, and Abilities:
  • Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis
  • Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
  • Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors
  • Expertise directing, developing, and applying machine learning algorithms
  • Exceptional problem solving / analytical thinking skills
  • Outstanding communication skills, teamwork and collaboration, and attention to detail
  • Advanced expertise in Python, R, SQL
  • Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)

Preferred Qualifications
Education/Certifications:
Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
Experience leading end-to-end data science project implementations working with Agile methodologies
Experience in analytical consulting roles
#LI-Hybrid
#LI-JM2
The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.