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Internship Python Data Science Jobs in Chicago Heights, IL

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... Strong proficiency in Python and SQL. * Experience with software development best practices ...

New

Python Tutor

Oak Lawn, IL · Remote

$18 - $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 ...

Python Tutor

Chicago, IL · Remote

$18 - $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 ...

... data science, measurement, marketing strategy & analytics • Strong communication skills to 'tell a story' that provides insight into the business • Proficient coding skills (SQL/Python/R) and ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

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 ...

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 ...

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

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Internship Python Data Science information

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

As of Jul 22, 2026, the average hourly pay for internship python data science in Chicago Heights, IL is $22.00, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.94 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 Chicago Heights, IL? The most popular types of Python Data Science jobs in Chicago Heights, IL are:
What cities near Chicago Heights, IL are hiring for Internship Python Data Science jobs? Cities near Chicago Heights, IL with the most Internship Python Data Science job openings:
Infographic showing various Internship Python Data Science job openings in Chicago Heights, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,750 per year, or $22 per hour.
Data Science Manager

Data Science Manager

Kemper

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Boston, Massachusetts, Chicago, Illinois, Columbus, Ohio, Hartford, Connecticut, Omaha, Nebraska

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises.

Position Summary:

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management

Position Responsibilities:

  • Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
  • Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
  • Manages project scope, expectations, and timelines.
  • Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
  • Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
  • Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
  • Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Position Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
  • Prior experience mentoring or managing talent.
  • Experience developing and deploying predictive models into production.
  • At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
  • Strong proficiency in Python and SQL.
  • Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
  • Claims experience preferred.
  • This position can be worked hybrid out of a local Kemper office. Remote options will be considered for non-local candidates.
  • Sponsorship is not accepted for this opportunity
  • The range for this position is $115,700 to $192,900. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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