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Internship Data Science Ngo Jobs (NOW HIRING)

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Partner with data scientists and ML engineers to make datasets model-ready, including preparing ... internship. We are looking for candidates who offer strong collaborative skills and work well with ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

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Internship Data Science Ngo information

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

As of Aug 18, 2026, the average hourly pay for internship data science ngo in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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 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.

What are the key skills and qualifications needed to thrive as an internship data science professional at an NGO?

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.
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Infographic showing various Internship Data Science Ngo job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Current PhD - Data Science Internship - Summer 2027

Capital One

Mclean, VA

Full-time

Posted 28 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

92nd of 171 rated banks


Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • Must be continuing in the same course of study of your PhD degree following completion of the internship

  • At least 6 months experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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