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Internship Non Profit Data Scientist Jobs (NOW HIRING)

Position Summary Candid is a nonprofit that provides the most comprehensive data and insights about ... Data scientists at this level work fairly independently on project-defined scope, often embedded ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Data Scientist

Chicago, IL · On-site

$79K - $158K/yr

The Medicare Stars team is continuing to grow and is seeking an early-career Data Scientist to join ... internship or academic project experience - Experience using Python and SQL for data analysis and ...

Data Scientist

Pittsburgh, PA · On-site

$38K - $43K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Internship, co-op, academic research, or personal project experience involving analytics, machine ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

Preferred : • Prior internship or project experience involving industrial IoT sensor data and ... physical science discipline • Research publications or patents in equipment reliability ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

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Internship Non Profit Data Scientist information

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$46K

$165K

$243.5K

How much do internship non profit data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for internship non profit data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an internship non profit data scientist do?

An Internship Non Profit Data Scientist assists nonprofit organizations in analyzing data to measure impact, improve programs, and inform decision-making. They use statistical and data analysis tools to interpret large sets of information, often related to fundraising, program outcomes, or community needs. Interns may also help design data collection processes, create visualizations, and present findings to stakeholders. This role offers hands-on experience in applying data science to real-world social issues, helping nonprofits maximize their effectiveness.

What types of projects does an internship non profit data scientist typically work on, and how do these projects support the organization's mission?

Internship Non Profit Data Scientists often work on projects such as analyzing donor data to improve fundraising strategies, evaluating the effectiveness of outreach programs, or creating data visualizations to communicate impact to stakeholders. These projects are essential in helping nonprofits make data-driven decisions that maximize their resources and better serve their communities. Interns usually collaborate with program managers, fundraising teams, and other analysts, gaining exposure to real-world challenges unique to the nonprofit sector while directly contributing to the organization's mission.

What are the key skills and qualifications needed to thrive as an internship non profit data scientist, and why are they important?

To thrive as an Internship Non Profit Data Scientist, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, typically supported by current enrollment in a quantitative field. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and relevant data science software is often required. Strong communication, problem-solving abilities, and a passion for social impact help interns stand out in nonprofit environments. These skills enable effective analysis and interpretation of data to inform strategic decisions and maximize organizational impact.

What is the difference between Internship Non Profit Data Scientist vs Internship Non Profit Data Analyst?

AspectInternship Non Profit Data ScientistInternship Non Profit Data Analyst
Required SkillsData modeling, machine learning, programming (Python/R)Data visualization, reporting, basic statistical analysis
Work EnvironmentResearch-focused, technical projects in non profit settingsData reporting and analysis tasks in non profit organizations
Employer UsageOrganizations seeking advanced data insights and predictive modelsOrganizations needing data summaries and performance metrics

Internship Non Profit Data Scientist roles typically involve advanced data modeling and machine learning, requiring programming skills and a focus on predictive analytics. In contrast, Internship Non Profit Data Analyst positions focus on data reporting, visualization, and basic statistical analysis. Both roles are common in non profit organizations but differ in technical complexity and project scope.

What cities are hiring for Internship Non Profit Data Scientist jobs?

Cities with the most Internship Non Profit Data Scientist job openings:

What are the most commonly searched types of Non Profit Data Scientist jobs?

The most popular types of Non Profit Data Scientist jobs are:

What states have the most Internship Non Profit Data Scientist jobs?

States with the most job openings for Internship Non Profit Data Scientist jobs include:

Data Scientist Internship

Barrington, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role: Data Scientist Intern 
Mode: Hybrid 
Location: Barrington, IL, 3 days per week in office 
Job Description: 
• Pursuing or recently completed a Master’s/Ph.D. in Data Science, Computer Science, Statistics, 
Operations Research, or a related quantitative field. 
• Hands-on experience with Machine Learning, Predictive Analytics, EDA, Statistical Modeling, and 
Feature Engineering. 
• Strong knowledge of Deep Learning, Neural Networks, Computer Vision, and image/video 
processing. 
• Experience with Time-Series Forecasting and quantitative models for demand planning and 
decision-making. 
• Knowledge of Mathematical Optimization, including Linear, Mixed-Integer, and Heuristic 
Optimization techniques. 
• Intermediate Experience with Agentic AI, LLMs, RAG, Multi-Agent workflows, and tools such as 
LangChain, LangGraph, CrewAI, and Hugging Face. 
• Intermediate Proficiency in Python, R, SQL and libraries including Pandas, NumPy, Scikit-learn, 
XGBoost/LightGBM, PyTorch/TensorFlow, OpenCV, Statsmodels, and optimization libraries.