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Internship Python Jobs in Elgin, IL (NOW HIRING)

RBN Chicago

Lead Software Engineer

Chicago, IL · On-site

Hire, mentor and manage software engineers and interns from the Computer Science department ... and Python Understanding of large scale real-time distributed computer systems Knowledge of ...

Danaher

Digital Analyst Internships

Chicago, IL

$101.50K - $120.10K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

RBN

Lead Software Engineer

Chicago, IL

Hire, mentor and manage software engineers and interns from the Computer Science department ... and Python Understanding of large scale real-time distributed computer systems Knowledge of ...

Danaher

Digital Analyst Internships

Aurora, IL

$94K - $111.20K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Smartly

Marketing Science Intern

Chicago, IL · Hybrid

$20/hr

Smartly.io is excited to announce our 10-week internship program for Summer 2026! Join our team of ... Execute basic Python notebook scripts and use AI-powered tools to extract data insights * Gain ...

Danaher

Digital Analyst Internships

Dekalb, IL

$96.70K - $114.30K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

SES

Intern Product & Innovations

Chicago, IL · On-site

... Python, scripting, REST APIs, or cloud platforms (e.g., AWS). • Familiarity with Linux environments or network monitoring tools. Experience Level • Internship or entry level role; prior ...

TransMarket Group

Junior Algorithmic Trader

Chicago, IL

$69K - $89.60K/yr

Learn and master object-oriented programming languages (C++ and Python) * Build and maintain ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

TransMarket Group

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89.60K/yr

Learn and master object-oriented programming languages (C++ and Python) * Build and maintain ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

SES

Intern Product & Innovations

Chicago, IL

... Python, scripting, REST APIs, or cloud platforms (e.g., AWS). • Familiarity with Linux environments or network monitoring tools. Experience Level • Internship or entry level role; prior ...

MX1

Intern Product & Innovations

Chicago, IL

Experience with Python, scripting, REST APIs, or cloud platforms (e.g., AWS). Familiarity with Linux environments or network monitoring tools. Experience Level Internship or entry level role; prior ...

Insight

AI Engineer Intern

Chicago, IL · On-site

Insight is excited to announce our 2026 Summer Internship program ! We are looking for motivated ... Proficiency in at least one scripting language (Python or JavaScript/Apps Script). * AI/LLM ...

Definian

Associate Consultant

Chicago, IL

$72K - $94K/yr

... Python (preferred). * Familiarity with additional scripting or data tools (PowerShell, VBA, Excel, etc.) is a plus. * 1+ years working directly with structured data (through coursework, internships ...

Smartly

Marketing Science Intern

Chicago, IL · On-site

$20/hr

Smartly.io is excited to announce our 10-week internship program for Summer 2026! Join our team of ... Execute basic Python notebook scripts and use AI-powered tools to extract data insights * Gain ...

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How much do internship python jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship python in Elgin, IL is $57.95, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $65.82 per hour, depending on experience, location, and employer.

What is an Internship Python job?

An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.

What are the key skills and qualifications needed to thrive in the Internship Python position, and why are they important?

To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.

What types of projects and responsibilities can I expect during a Python internship?

During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.
More about Internship Python jobs
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Internship Python jobs near you
Data Analytics Consultant - Data Lake

Data Analytics Consultant - Data Lake

Deloitte

Chicago, IL

Other

Posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • Exposure to SOC threat hunting and/or incident response
  • Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or AI solutions
  • Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
  • Experience parsing and normalizing cyber or IT telemetry datasets
  • Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
  • Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
  • Ability to manage multiple task assignments while working in a team-oriented environment
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
#CDRCyber26
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $163,100.
Qualifications:

Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • Exposure to SOC threat hunting and/or incident response
  • Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or AI solutions
  • Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
  • Experience parsing and normalizing cyber or IT telemetry datasets
  • Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
  • Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
  • Ability to manage multiple task assignments while working in a team-oriented environment
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
#CDRCyber26
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $163,100.
Education:Bachelor's DegreeEmployment Type:

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