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Data Scientist Intern Jobs (NOW HIRING)

As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities * Perform large ...

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 ...

Data Scientist Intern

Boston, MA ยท On-site

$20 - $30/hr

The internship will conclude successfully with the intern having learning modern best practices of ... D. in Data Science, Computer Science, Physics, or equivalent. * Collaborative spirit with keen ...

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ...

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or related fields, in the United States. * Intern must have reliable transportation to and from the ...

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or related fields, in the United States. * Intern must have reliable transportation to and from the ...

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Data Scientist Intern information

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$46K

$165K

$243.5K

How much do data scientist intern jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data scientist intern 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 are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What types of projects and tasks can I expect to work on as a Data Scientist Intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

What are Data Scientist Interns?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

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

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

More about Data Scientist Intern jobs
What cities are hiring for Data Scientist Intern jobs? Cities with the most Data Scientist Intern job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Intern jobs? States with the most job openings for Data Scientist Intern jobs include:
Infographic showing various Data Scientist Intern job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 12% Full Time, and 82% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist Intern

Data Scientist Intern

Brilent

San Mateo, CA โ€ข On-site

Full-time, Internship

Posted 2 days ago


Job description

Company Description
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Develop data infrastructure and improve data collection and processing tools and techniques

Qualifications
  • Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
  • Proficient in SQL and able to write complex SQL queries
  • Experience with scripting languages such as Java and Python
  • Excellent problem-solving and analytical skills
  • Curious and creative about data, and comfort with ambiguity

Additional Information
We offer competitive salaries, meals, snacks, etc.