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Data Science Startup Internship Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... During the internship, you will support the Data team by analyzing data, building models ...

DEUNA

Data Science intern

San Francisco, CA

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... During the internship, you will support the Data team by analyzing data, building models ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Evolver

Applied Data Science Intern

Palo Alto, CA

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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Data Science Startup Internship information

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

As of Jul 31, 2026, the average hourly pay for data science startup internship 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 is a Data Science Startup Internship job?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What types of projects or tasks can I expect to work on during a Data Science Startup Internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive in the Data Science Startup Internship position, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

More about Data Science Startup Internship jobs
What cities are hiring for Data Science Startup Internship jobs? Cities with the most Data Science Startup Internship job openings:
What are the most commonly searched types of Data Science Startup jobs? The most popular types of Data Science Startup jobs are:
What states have the most Data Science Startup Internship jobs? States with the most job openings for Data Science Startup Internship jobs include:
What job categories do people searching Data Science Startup Internship jobs look for? The top searched job categories for Data Science Startup Internship jobs are:
Data Science Startup Internship jobs near you
Infographic showing various Data Science Startup Internship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science intern

DEUNA

San Francisco, CA • On-site

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.

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