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Data Scientist Internship Jobs (NOW HIRING)

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Experience analyzing real world data through coursework, thesis research, internships, or work ... Advanced degree in a data science equivalent field or sub-field * Experience developing, retraining ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Data Scientist

Reston, VA · On-site +1

Experience analyzing real world data through coursework, thesis research, internships, or work ... Advanced degree in a data science equivalent field or sub-field * Experience developing, retraining ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

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Data Scientist Internship information

See salary details

$46K

$165K

$243.5K

How much do data scientist internship jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data scientist internship 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.

Is 20 an hour good for an internship?

For a Data Scientist Internship, $20 an hour is generally considered competitive, especially for entry-level or early-stage internships. Compensation can vary based on location, company size, and required skills such as programming in Python or R, but $20 per hour aligns with industry standards for many internships in this field.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data science projects.

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

AspectData Scientist InternshipData Analyst 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 EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What kind of projects and tasks can I expect to work on during a Data Scientist Internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a Data Scientist Internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What Are the Qualifications to Get a Data Scientist Internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

Is 30 too late for data science?

Age is not a strict barrier for a data scientist internship; many candidates start at 30 or older, especially if they have relevant skills in programming, statistics, and tools like Python or R. Success depends on your experience, continuous learning, and ability to demonstrate your capabilities through projects or certifications.

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

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.

How to get an internship as a data scientist?

To secure a data scientist internship, candidates should develop strong skills in programming languages like Python or R, gain experience with data analysis and machine learning, and build a portfolio of projects. Applying through company career portals, leveraging university connections, and obtaining relevant certifications such as those in data science or analytics can improve chances. Internships often require a background in a related field like computer science, statistics, or mathematics.
What cities are hiring for Data Scientist Internship jobs? Cities with the most Data Scientist Internship 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 Internship jobs? States with the most job openings for Data Scientist Internship jobs include:
Infographic showing various Data Scientist Internship job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Full-time

Posted 27 days ago


Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

Required Skills
Required Experience