ZipRecruiter

Log In

1

Internship Data Science R Jobs in Baltimore, MD (NOW HIRING)

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Baltimore, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Deloitte

AI and Data Science Engineer III

Baltimore, MD · On-site

$113K - $136K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

next page

Showing results 1-20

People also search for

All JobsData Science R JobsInternship Data Science R JobsInternship Data Science R Jobs in Baltimore, MD

Internship Data Science R information

See Baltimore, MD salary details

$11

$22

$41

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

As of Jun 7, 2026, the average hourly pay for internship data science r 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 Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

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

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Baltimore, MD? The most popular types of Data Science R jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Internship Data Science R jobs? Cities near Baltimore, MD with the most Internship Data Science R job openings:
Internship Data Science R jobs near you
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD

Other

Posted 8 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services

Job description

Accenture Federal Services is looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team. The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

  • Develop and implement data-driven solutions using programming languages such as Python and R
  • Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
  • Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
  • Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
  • Collaborate with cross-functional teams to understand business needs and deliver actionable insights

What you'll need:

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
    • 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
    • A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
  • 14 years of experience in software engineering in similar programs and contracts 
  • 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

Bonus points if you have:

  • Familiarity with libraries like NumPy, pandas, and advanced visualization tools
  • Experience analyzing datasets and developing analytics 
  • Experience in creating impactful data visualizations and reports for stakeholders
  • Ability to work independently and in a collaborative team environment
  • Strong foundation in statistics and probability, including regression analysis and hypothesis testing
  • Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
  • Expertise in data wrangling to prepare raw data for analysis
  • Excellent problem-solving and analytical skills

Security Clearance:

  • Must have an active TS/SCI with polygraph level clearance

#clearancejobs

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply