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Data Science Fall Internship Jobs in Mount Prospect, IL

Data Engineer II - Zelle

Chicago, IL · Hybrid

$83K - $124K/yr

Mentor and train interns. * Guide Data Scientists on best practices in software engineering. * Collaborate with analytics leadership and engineers from other parts of EW on architectural and software ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

This role will work closely with the Data Science function, Finance, and IT stakeholders to improve ... role (internships/co-ops count). * Experience developing or supporting Power BI reports and ...

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Data Science Fall Internship information

See Mount Prospect, IL salary details

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$22

$41

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

As of Aug 10, 2026, the average hourly pay for data science fall internship in Mount Prospect, IL is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a data science fall intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Mount Prospect, IL? For Data Science Fall Internship jobs in Mount Prospect, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Mount Prospect, IL look for? The top searched job categories for Data Science Fall Internship jobs in Mount Prospect, IL are:
What cities near Mount Prospect, IL are hiring for Data Science Fall Internship jobs? Cities near Mount Prospect, IL with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Mount Prospect, IL as of June 2026, with employment types broken down into 3% As Needed, 62% Full Time, 29% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $46,504 per year, or $22.4 per hour.

2027 Data for Good Hackathon - Data & AI Program - Summer Internship

JP Morgan Chase

Chicago, IL

Full-time

Posted 6 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Join Data for Good, a social impact hackathon hosted by JPMorganChase's Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organizations. Discover if a career in financial services technology is your calling, as you unlock your potential with a dynamic team of innovative technologists.  Participating in Data for Good may also lead to an opportunity for you to learn more about and be considered for a 2027 Data & AI Program summer internship.

About the Program/Event

Tech for Social Good at JPMorganChase is focused on driving impact in our communities through the skills of our tech workforce. By attending Data for Good, you will collaborate with our expert Data and AI professionals to creatively address real-world challenges faced by nonprofit organizations, fostering innovation and impact. This experience offers you the chance to network with fellow aspiring Data and AI professionals across the country and engage with our recruiting teams, providing insight into data focused roles at JPMorganChase.  Over two days (Friday - Saturday), you and your team will analyse large, social good data sets and derive insights for a leading nonprofit organization, with travel expenses covered under certain conditions. 

As a Summer Analyst in the Data & AI Program at JPMorganChase, you'll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance. 

Please note, to be considered for internship opportunities, Data for Good participants will be required to participate in the standard hiring process, including additional interview steps. Additional information, including application details, to be provided to Data for Good participants.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close. 

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorganChase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.) 

Event Expectations

  • Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.

  • Collaborate and share ideas, information, and innovation with our global team of technologists.

  • Develop skills through ongoing training, mentorship, and access to senior leaders.

  • Share data-driven recommendations and insights that impact our stakeholders.

  • Work on agile teams alongside peers and experienced data and AI professionals. 

Required qualifications, capabilities and skills

  • Pursuing a Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
  • Graduating between December 2027 and August 2028.
  • Authorized to work permanently in the United States.
  • Meeting the role requirement that no prior work experience is needed.

Preferred qualifications, capabilities and skills

  • Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
  • Use programming languages such as SQL and Python.
  • Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
  • Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
  • Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
  • Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
  • Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. 

Locations you may join:

  • Chicago, IL
  • Columbus, OH
  • Plano, TX 
  • New York Metro
  • Delaware Metro

Data for Good Hackathon Details:

  • Location: JPMorganChase's Brooklyn Office
  • Event Date: Friday, October 16th - Saturday, October 17th
  • Applications Close: Friday, 12:00am Eastern Time October 16th

Please, note the above locations are based on acceptance into the Data & AI Program summer internship program. The Hackathon will be held in Brooklyn, New York.

What's Next?

To be considered for the Data for Good Hackathon, you must complete the following steps:

  1. Please ensure read the Official Rules before you start this application.
  2. Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.  
  3. On your application form, please select the JPMorganChase locations that you are most interested in learning about. Selected applicants will be invited to attend one of the hackathons with technologists and recruiters best matched to your work location preference.
  4. After you submit your application, we will review it to determine whether you meet certain required qualifications.
  5. Selected applicants will be notified via email with final event details.
  6. Attendees will need to bring their own laptops to the event.

JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities.

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

2026 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.


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