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Data Science Summer Internship Jobs (NOW HIRING)

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 ...

Summer Internship

Newton, MA

$16.50 - $19.75/hr

RSM's summer internship program provides hands-on experience, mentorship and professional ... Data Analytics * Marketing * Finance * Human Resources * Business Development Please submit:

Customs Summer Internship

Erlanger, KY ยท On-site

$15 - $20/hr

Customs Summer Internship It's more than a job With us, you will get to know the diverse world of ... Data, systems, or customs technology support (non-transactional) * Learn Kuehne+Nagel customs ...

Zanskar Summer Internship

Salt Lake City, UT

$14.50 - $17.50/hr

Summer Internship Zanskar | Salt Lake City, UT Location: 90 S 400 W, Ste 410, Salt Lake City, UT ... We combine geoscience, data, and modern exploration techniques to unlock a new generation of ...

Zanskar Summer Internship

Salt Lake City, UT ยท On-site

$14.50 - $17.50/hr

Summer Internship Zanskar | Salt Lake City, UT Location: 90 S 400 W, Ste 410, Salt Lake City, UT ... We combine geoscience, data, and modern exploration techniques to unlock a new generation of ...

Summer Internship Program

Chicago, IL ยท On-site

$7.50 - $15/hr

CoSourcing Partners - Summer Internship Program Program Dates: June 1, 2026 - August 1, 2026 ... Cloud, AI, and Data Professional Services Interns work closely with executive leadership on data ...

Summer Internship Program

Chicago, IL ยท On-site +1

$7.50 - $15/hr

CoSourcing Partners - Summer Internship Program Program Dates: June 1, 2026 - August 1, 2026 ... Cloud, AI, and Data Professional Services Interns work closely with executive leadership on data ...

The RREAF Holdings 2026 Summer Internship Program offers a unique opportunity for aspiring ... Support data-driven decision-making by analyzing property performance metrics, market data, and ...

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Data Science Summer Internship information

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

As of Jun 7, 2026, the average hourly pay for data science summer 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 Summer Internship?

A Data Science Summer Internship is a temporary, typically 8-12 week position offered during the summer to students or recent graduates interested in gaining hands-on experience in data science. Interns work on real-world projects involving data collection, cleaning, analysis, and visualization, often using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and networking opportunities that can help launch a career in data science.

What is the difference between Data Science Summer Internship vs Data Analyst Summer Internship?

AspectData Science Summer InternshipData Analyst Summer Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentHands-on projects involving machine learning, programming, and data modelingData cleaning, reporting, and visualization tasks
Employer & Industry UsageTech companies, startups, finance, healthcareBusiness, marketing, finance, consulting

While both internships involve working with data, Data Science Summer Internships focus on building predictive models and advanced analytics, whereas Data Analyst Summer Internships emphasize data interpretation, reporting, and visualization. Candidates should choose based on their skills and career goals in data-related roles.

What are the key skills and qualifications needed to thrive as a Data Science Summer Intern, and why are they important?

To thrive as a Data Science Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization libraries, as well as exposure to machine learning frameworks, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set outstanding interns apart. These skills are crucial for translating complex data into actionable insights and collaborating successfully within multidisciplinary teams.

What types of projects and collaboration can I expect during a Data Science Summer Internship?

As a Data Science Summer Intern, you'll typically work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Interns often collaborate with cross-functional teams such as engineering, product management, and business analytics to understand project requirements and deliver actionable insights. You'll likely participate in team meetings, present your findings, and receive constructive feedback, offering a valuable opportunity to learn industry best practices and improve your technical and communication skills.
More about Data Science Summer Internship jobs
What cities are hiring for Data Science Summer Internship jobs? Cities with the most Data Science Summer Internship job openings:
What are the most commonly searched types of Data Science Summer jobs? The most popular types of Data Science Summer jobs are:
What states have the most Data Science Summer Internship jobs? States with the most job openings for Data Science Summer Internship jobs include:
Infographic showing various Data Science Summer Internship job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 20% Full Time, 75% Part Time, 3% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA โ€ข On-site

Full-time, Internship

Posted 18 days ago


Job description

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 just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier 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 techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.
This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.
  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:
Interns will contribute to real data innovation projects involving:
  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.
Mentorship & Learning
Interns will work closely with experienced staff and technical mentors with expertise in:
  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:
  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:
We welcome applications from:
  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.
Strong candidates typically demonstrate:
  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.