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Internship Data Science Ngo Jobs in Riverside, CA

Collaborate with Data Scientists to help integrate data and model outputs into agent workflows ... Internship experience focused on AI/ML development. Experience with building small projects using ...

Job AI Automation Intern

Orange, CA

$16 - $21.75/hr

Currently pursuing a Bachelor's or Master's degree in Engineering, Data Science, Computer Science, Information Systems, or a related field. * Coursework, projects, or hands-on internship experience ...

Digital Analyst Internships

Pomona, CA

$100K - $118K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

... with Data Scientists and business stakeholders to build foundational components of innovative ... Preferred Qualifications & Experience: • Master's degree in a relevant field. • Internship ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field * 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or ...

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Internship Data Science Ngo information

See Riverside, CA salary details

$12

$23

$43

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

As of Jun 16, 2026, the average hourly pay for internship data science ngo in Riverside, CA is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

What does an Internship Data Science position at an NGO involve?

An Internship Data Science position at an NGO typically involves supporting data-driven projects that help advance the organization's mission. Interns may collect, clean, and analyze data, create visualizations, and assist in preparing reports that inform decision-making and measure program impact. This role often requires working with real-world social, environmental, or humanitarian datasets and collaborating with other team members. It's a valuable opportunity to gain practical experience in applying data science skills to address social issues.

What are the key skills and qualifications needed to thrive as an Internship Data Science professional at an NGO, and why are they important?

To thrive as a Data Science intern at an NGO, a solid foundation in statistics, data analysis, and programming (usually Python or R) is essential, along with ongoing or completed coursework in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), spreadsheet software, and basic knowledge of databases are typically expected. Strong communication, teamwork, and adaptability help interns effectively translate data insights for non-technical stakeholders and collaborate within mission-driven teams. These skills are crucial for generating actionable insights that support the NGO's objectives and maximize its social impact.

What types of projects can I expect to work on during a Data Science internship at an NGO?

As a Data Science intern at an NGO, you'll typically work on projects that involve analyzing and interpreting data to support the organization's mission, such as evaluating program effectiveness, donor engagement, or community impact. You might clean and visualize data, build predictive models, or develop dashboards for stakeholders. These projects often require collaboration with program managers, communications teams, and sometimes external partners to ensure insights are actionable and impactful. The work environment is usually collaborative and mission-driven, offering opportunities to learn from experienced professionals while contributing to meaningful causes.
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Forward Deployed Software Engineer Internship

Healthpeak Properties

Irvine, CA

$25/hr

Other

Posted 5 days ago


Job description

Forward Deployed Software Engineer

At Healthpeak, we give our Forward Deployed Software Engineers the autonomy of a startup with the backing, scope, and staying power of a well-established organization. We exist to transform technology into a revenue-generating arm of the real estate business, building products and platforms that directly support our tenants, partners, and the teams who serve them every day. As an FDSE, you will be part of a small, agile pod and will directly embed with business teams. You will work side-by-side with operators, asset managers, and customer-facing colleagues to rapidly identify opportunities, design solutions, and deliver real value. This is a hands-on, high-impact role for engineers who thrive close to users, enjoy ambiguity, and want to see their work make a tangible difference. You will relentlessly prototype, test, launch, and scale new ideas—often moving from concept to production in the matter of weeks. Our first and most important customers are our peers inside Healthpeak, and our ultimate goal is to create delightful, seamless experiences for our tenants and partners by relentlessly minimizing friction.

What we're looking for:

  • Inquisitive engineers who care just as much about why we're building it as how it should be built. Those who dare to reimagine how work can be done.
  • Proven programming expertise across languages such as Python, Java, C++, and TypeScript/JavaScript, with hands-on experience developing alongside AI agents (e.g., Claude Code). Backgrounds in Computer Science, Mathematics, Software Engineering, Physics, or Data Science are especially relevant.
  • Strong technical problem-solving skills, including practical experience with data structures, storage systems, cloud infrastructure, front-end frameworks, and related technologies.
  • Demonstrated ability to collaborate effectively with both technical and non-technical stakeholders, thriving in fast-paced environments with evolving goals and iterative user feedback.
  • Self-directed and adaptable learner, capable of working independently and making sound decisions with minimal oversight.
  • Expected hours: 10-25 hrs per week
  • Pay rate: $25/hr