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Summer Intern Data Scientist Jobs (NOW HIRING)

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

ncmec

Completed at least 2 years of college with a focus on law, political science, public policy ... when completing data entry * Ability and confidence in communicating questions and project ...

Octaura

Intern, Data Engineering

New York, NY · On-site

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... The ideal candidate has a computer science or related background, some experience using SQL and ...

Mercer University

Mercer Votes Summer Intern

Macon, GA · On-site

$21 - $23/hr

In addition to summer orientation support, the intern(s) will assist with data collection and ... outreach tracking to help Mercer Votes evaluate the reach and effectiveness of its efforts.

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How much do summer intern data scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for summer intern data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a summer intern data scientist do?

A Summer Intern Data Scientist typically assists with data analysis, model building, and data visualization tasks under the guidance of experienced data scientists. They help collect, clean, and prepare data, perform exploratory analysis, and may contribute to developing machine learning models or data-driven solutions. Interns often work on specific projects, learning industry-standard tools and programming languages like Python, R, or SQL. The role provides hands-on experience and helps interns develop skills necessary for a career in data science.

What are the key skills and qualifications needed to thrive as a summer intern data scientist, and why are they important?

A Summer Intern Data Scientist should possess a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework in computer science, mathematics, or related fields. Familiarity with data visualization tools, machine learning libraries (like scikit-learn or TensorFlow), and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with diverse teams. These competencies enable interns to contribute meaningfully to projects, learn rapidly, and provide actionable insights during their limited internship period.

What types of projects can a summer intern data scientist expect to work on, and how is mentorship typically provided during the internship?

As a Summer Intern Data Scientist, you can expect to work on projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Many internships assign interns to real-world business problems, allowing you to contribute to ongoing initiatives and see the impact of your work. Mentorship is commonly provided through regular check-ins with a dedicated supervisor or team, code reviews, and collaborative group meetings, ensuring you receive feedback and support as you develop your skills. This structure not only helps interns learn technical concepts but also exposes them to best practices in data science workflows and teamwork.

What is the difference between Summer Intern Data Scientist vs Data Analyst?

AspectSummer Intern Data ScientistData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften holds or is pursuing a degree in Data Analysis, Statistics, or related areas
Work EnvironmentInternship programs in tech, finance, healthcare, and other industries; project-basedFull-time or part-time roles in various industries; focus on data reporting and visualization
Employer & Industry UsageUsed by companies offering internship programs to develop future data talentCommon in many industries for ongoing data reporting and business insights

The Summer Intern Data Scientist role is an entry-level internship focused on developing data science skills through project work, often involving machine learning and statistical modeling. In contrast, Data Analysts typically handle ongoing data reporting, visualization, and business analysis. While both roles require familiarity with data tools, the internship emphasizes learning and skill development, whereas Data Analysts often have more experience and responsibility in data interpretation.

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Summer Intern Data Scientist jobs near you
Infographic showing various Summer Intern Data Scientist 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist Intern

New York, NY • On-site

Ardian
See more jobs at Ardianexternal

Full-time

Re-posted 26 days ago

Job description

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)
This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.
Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
  • Rigor
  • Motivation
  • Autonomy
  • Responsiveness
  • Team spirit and excellent communication skills
  • Ability to simplify complex technical concepts
  • Efficiency

Profile
  • 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field
  • Prior experience in data science required
  • Advanced proficiency in Python required
  • Fluent English essential
  • Good command of Excel and PowerPoint appreciated

Other information
  • Remuneration based on profile
  • Monday - Thursday meals provided in Ardian's office
  • Open to J1/F1 sponsorship

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