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Summer Data Scientist Internship information

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$243.5K

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

As of Sep 14, 2026, the average yearly pay for summer 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.

What is a summer data scientist internship?

A Summer Data Scientist Internship is a temporary, typically 10-12 week program offered during the summer months where students or recent graduates gain practical experience in data science. Interns work with real-world datasets, apply statistical analyses, and use programming languages like Python or R to solve business problems. These internships help participants develop technical and analytical skills while working alongside experienced data scientists. They also offer opportunities to network, learn industry best practices, and potentially secure a full-time position after graduation.

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

To thrive as a Summer Data Scientist Intern, you typically need a solid foundation in statistics, programming (often Python or R), and data analysis, with coursework or experience in relevant fields. Familiarity with data visualization tools (such as Tableau or Matplotlib), machine learning libraries (like scikit-learn or TensorFlow), and database systems (SQL) is highly valued. Strong problem-solving, curiosity, and effective communication help interns interpret findings and collaborate on cross-functional teams. These skills are crucial for extracting actionable insights from data and contributing to impactful projects during the internship.

What types of projects and tasks can I expect to work on during a summer data scientist internship?

As a Summer Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, developing predictive models, and creating data visualizations to support business decisions. You may collaborate closely with experienced data scientists and cross-functional teams like engineering or product management. Interns often participate in real-world projects that contribute to ongoing company initiatives, allowing you to gain practical experience while learning new tools and techniques. The environment is typically fast-paced and supportive, providing mentorship and opportunities to present your work to stakeholders.

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

AspectSummer Data Scientist InternshipSummer Data Analyst Internship
Required SkillsProgramming (Python, R), statistical analysis, machine learningExcel, SQL, basic statistics, data visualization
Work EnvironmentResearch-focused, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Employer UsageTech companies, finance, healthcareRetail, marketing, consulting firms

Summer Data Scientist Internships typically involve advanced analytics, machine learning, and programming skills, focusing on predictive modeling. In contrast, Summer Data Analyst Internships emphasize data cleaning, reporting, and descriptive analysis. Both roles are valuable in data-driven industries but differ in technical complexity and focus areas.

More about Summer Data Scientist Internship jobs

What cities are hiring for Summer Data Scientist Internship jobs?

Cities with the most Summer Data Scientist Internship job openings:

What states have the most Summer Data Scientist Internship jobs?

States with the most job openings for Summer Data Scientist Internship jobs include:

What are popular job titles related to Summer Data Scientist Internship jobs?

For Summer Data Scientist Internship jobs, the most frequently searched job titles are:

Summer Data Scientist Internship jobs near you
Infographic showing various Summer Data Scientist Internship job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 45% Full Time, 13% Part Time, 4% Temporary, 30% Contract, and 4% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Applied Data Scientist Internship (DoW SkillBridge)

Columbia, MD • On-site

IntelliGenesis
IT Services • 51 - 200 employees
Learn more about IntelliGenesisexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago

Key responsibilities

  • Participate in industry training, apprenticeships, or internships related to data science during the last 180 days of military service.

  • Engage in real-world job experiences connected with industry partners while continuing military benefits.

  • Report daily to the Columbia, MD office and perform data analysis to identify insights and intelligence opportunities.

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
 

Eligibility Requirements:

  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

  • 90-180 days

Requirements:

  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas: 
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation. 
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries 
  • Experience/knowledge of computer science concepts

Desired Skills:

  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force – (1N4)
    • Marine – (2611, 2629)
    • Army – (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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