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Data Science Unpaid Intern Jobs in San Ramon, CA

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

Data Science Intern

Menlo Park, CA · On-site

$95.98 - $116.06/hr

As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data‐driven insight ...

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 ...

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 ...

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

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Data Science Unpaid Intern information

See San Ramon, CA salary details

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$19

$27

How much do data science unpaid intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data science unpaid intern in San Ramon, CA is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.49 per hour, depending on experience, location, and employer.

What is a data science unpaid intern?

A Data Science Unpaid Intern job is a temporary, unpaid position where individuals gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns work on real-world projects, assisting with data cleaning, visualization, and algorithm development under the guidance of experienced professionals. This role provides valuable exposure to industry tools like Python, SQL, and Tableau, helping interns build their resumes and enhance their technical skills. Although unpaid, it offers networking opportunities and practical experience that can be beneficial for securing future paid positions in data science.

What kinds of projects or tasks can I expect to work on as a data science unpaid intern?

As a Data Science Unpaid Intern, you can expect to assist with data cleaning, exploratory data analysis, and building simple predictive models under the supervision of experienced data scientists. You might work on tasks such as processing large datasets, developing data visualizations, and supporting project documentation. Interns often collaborate with cross-functional teams on real business problems, gaining exposure to the end-to-end analytics workflow. This hands-on experience not only strengthens your technical abilities but also provides valuable insight into the day-to-day work environment in the data science field.

What are the key skills and qualifications needed to thrive in the data science unpaid intern position, and why are they important?

To thrive as a Data Science Unpaid Intern, a strong grounding in statistics, programming (commonly Python or R), and foundational knowledge of machine learning concepts is essential, typically supported by coursework or a degree in a quantitative field. Familiarity with data analysis tools such as pandas, NumPy, Jupyter notebooks, and experience with data visualization libraries like Matplotlib or Tableau are highly valued. Effective communication, eagerness to learn, and attention to detail help interns collaborate within teams and quickly adapt to new challenges. These skills are critical for contributing to real-world data projects and acquiring practical experience that prepares interns for future data science roles.

What job categories do people searching Data Science Unpaid Intern jobs in San Ramon, CA look for?

The top searched job categories for Data Science Unpaid Intern jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Science Unpaid Intern jobs?

Cities near San Ramon, CA with the most Data Science Unpaid Intern job openings:

Infographic showing various Data Science Unpaid Intern job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,600 per year, or $19 per hour.

Data Science intern

San Francisco, CA • On-site

DEUNA
Software Development • 51 - 200 employees

Temporary

Re-posted 2 days ago


Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.