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Nonprofit Machine Learning Jobs in Chicago, IL (NOW HIRING)

The Team The Biohub is a group of nonprofit research institutes that bring together scientists ... Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

The Team The Biohub is a group of nonprofit research institutes that bring together scientists ... Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ...

You will be accountable for elevating the quality of partnerships with nonprofit, agency, and ... A passion for using emerging technologies, including AI, machine learning, and dynamic creative ...

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Nonprofit Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do nonprofit machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for nonprofit machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is a nonprofit machine learning professional?

A Nonprofit Machine Learning professional is someone who applies machine learning and data science techniques to help nonprofit organizations achieve their missions. This can include using predictive analytics to improve fundraising, optimize program delivery, or analyze the impact of initiatives. They often work with large datasets, develop algorithms, and collaborate with program staff to find data-driven solutions to social challenges. Their work helps nonprofits make more informed decisions and maximize their impact.

How does the role of a machine learning specialist in a nonprofit differ from similar roles in the private sector?

In a nonprofit setting, a Machine Learning Specialist often works with limited resources and must prioritize projects that directly support the organization's mission, such as optimizing donor outreach, improving program delivery, or analyzing social impact. Collaboration with program staff, fundraisers, and volunteers is common, requiring strong communication skills to translate technical insights into actionable strategies. Unlike the private sector, where profitability may be the primary focus, success in a nonprofit environment is measured by social outcomes and mission alignment. This role offers the opportunity to see the tangible impact of your work and can lead to leadership or strategic roles within the organization as you demonstrate value.

What are the key skills and qualifications needed to thrive as a nonprofit machine learning specialist, and why are they important?

To thrive as a Nonprofit Machine Learning Specialist, you need a strong background in data analysis, statistics, and machine learning, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with donor management or CRM systems are highly valuable. Strong communication, problem-solving, and collaboration skills help translate technical solutions into meaningful impact for nonprofit missions. These abilities are crucial for leveraging data-driven insights to optimize resources, drive fundraising, and advance organizational goals.

What is the difference between Nonprofit Machine Learning vs Nonprofit Data Analyst?

AspectNonprofit Machine LearningNonprofit Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), statistical modelingData visualization, statistical analysis, Excel, SQL
Work EnvironmentResearch-focused, technical teams, data science projectsReporting, data interpretation, stakeholder communication
Employer & Industry UsageTech-driven nonprofits, research institutionsCharities, advocacy groups, social service agencies

Nonprofit Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and statistical skills. Nonprofit Data Analysts primarily interpret and visualize data to inform decisions. While both roles support nonprofit missions, Machine Learning positions are more technical and research-oriented, whereas Data Analysts focus on data reporting and communication.

What are popular job titles related to Nonprofit Machine Learning jobs in Chicago, IL?

For Nonprofit Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Nonprofit Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Nonprofit Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Nonprofit Machine Learning jobs?

Cities near Chicago, IL with the most Nonprofit Machine Learning job openings:

Infographic showing various Nonprofit Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

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

Chicago, IL • On-site


JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

71st of 172 rated banks

People enjoy working here

Good employer

Recommended by students


$45.67/hr

Full-time

Posted 21 days ago


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
About Us
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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