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Data Science Fall Internship Jobs in Baltimore, MD

ANGARAI-Internship

College Park, MD · On-site

$14.75 - $19.75/hr

Whether you'relooking for Full-time,Part-time, Summer/Spring/Fall internship, Curricularor ... Business / Research / Market/ Data Analysis * Accounting / Finance / Taxation * Information ...

Data Scientist

Columbia, MD · On-site

$117K - $137K/yr

Minimum Bachelors in Computer science or Data Analytics Salary and Benefit Information: The likely ... fall outside of this range. Application Deadline : September 30, 2026 Joining the Alpha Omega team ...

Data Scientist

Columbia, MD · Hybrid

$117K - $137K/yr

Minimum Bachelors in Computer science or Data Analytics Salary and Benefit Information: The likely ... fall outside of this range. Application Deadline : September 30, 2026 Joining the Alpha Omega team ...

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Data Science Fall Internship information

See Baltimore, MD salary details

$11

$22

$41

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

As of Aug 11, 2026, the average hourly pay for data science fall internship in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Baltimore, MD? For Data Science Fall Internship jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Data Science Fall Internship jobs? Cities near Baltimore, MD with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Baltimore, MD 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 $46,511 per year, or $22.4 per hour.

Part-time, Internship

Re-posted 6 days ago


Job description

We are seeking students who are passionate about logistics to join our 2026 Fall Internship Program. The 2026 Fall Internship Program is a part time, 12 week long opportunity that will provide the intern with professional work experience, mentorship, and exposure to operations for MSC USA. In addition to the hands-on work assignments and projects, the intern will also increase their knowledge in shipping and logistics operations for a global organization.

The Baltimore office is located at 401 E. Pratt St, Baltimore MD 21202, and this role will be fully in-office.

Key Responsibilities: 

  • Provide support to various departments by performing administrative related tasks as needed
  • Prepare and review various documents and reports 
  • Enter data efficiently and effectively 
  • Perform other duties as assigned 
  • Maintains good customer relationships with new and existing clients/vendors