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Intern Python Data Analyst Jobs in Baltimore, MD

AV, Inc.

Data Analyst with Security Clearance

Annapolis, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Professional experience developing and scripting in Python. * Strong verbal communication skills ...

California SoftTech, Inc.

Data Scientist

Woodlawn, MD · On-site

... Python, Regex, and SQL experience • Excellent Communication skills Position Description: • Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity ...

New

Centurion Consulting Group

Sr Data Scientist

Woodlawn, MD · On-site

$125K - $195K/yr

Strong Python development skills for building analytics solutions and manipulating data. Advanced SQL proficiency for complex data querying, optimization, and database operations. Practical ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Baltimore, MD

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How much do intern python data analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for intern python data analyst 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 does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Analyst jobs in Baltimore, MD?

The most popular types of Python Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Intern Python Data Analyst jobs?

Cities near Baltimore, MD with the most Intern Python Data Analyst job openings:

Intern Python Data Analyst jobs near you
Infographic showing various Intern Python Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Affordability Analyst/Acquisition Data Scientist with Security Clearance

Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Description Are you seeking an opportunity to implement novel analytic process and methods that improve acquisition program cost and schedule execution? Are you motivated by taking disparate data sources and building structured analytic frameworks that support important resource allocation decisions? If so, we're looking for someone like you to join our team at APL! We are seeking an Acquisition Data Scientist to help develop next-generation project management cost and schedule control techniques across the full data science pipeline in support of DoW / US Govt. Sponsors. Significant tasks will include the collection, pre-processing, normalization, statistical analysis, and development operations (e.g., DevOps) of financial and parametric data in order to generate credible cost and schedule estimates. You'll be joining a hardworking team of analysts who incorporate affordability and cost considerations into the critical solutions to the critical challenges our nation faces. As a member of our team, you will contribute to network-based schedule risk assessments, trade space studies (e.g., Analysis of Alternatives, Business Case Analyses, Economic Analyses), affordability studies (e.g., Life Cycle Cost Estimates, Total Ownership Costs), and earned value management (EVM) forecasting. As an Affordability Analyst/Acquisition Data Scientist, you will... * Be responsible for aggregating cost and parametric data of government projects through both structured (DAMIR, CADE, VAMOSC, USASpending.gov) and unstructured (open-source web website, LLMs, domain expert interviews) research in order to improve upon existing or generate new and innovative cost estimating relationships.
* Contribute to studies that quantify best value assessments through affordability analysis, decision frameworks, data visualization, sensitivity analysis, and data management.
* Learn to build cost and schedule estimates integrating statistical analysis, network science, modeling & simulation (M&S), cost databases, and expert opinion in Excel, MATLAB, Python, R, and cost estimating software (e.g., ACEIT and Price Trueplanning).
* Design, implement, and operationalize data operations (DataOps) pipelines that support scalable, and reliable data analytics across defense acquisition programs.
* Collaborate with APL staff from all sectors and departments on technical studies across land, sea, air, space, and cyberspace domains. Qualifications You meet our minimum qualifications for the job if you... * Have a Bachelor's degree in data science, business analytics, statistics, economics, computer science, mathematics, engineering, operations research, or a related field.
* Have proven experience organizing data into flexible, scalable, and reusable structures, performing comprehensive data analysis, and establishing data management frameworks.
* Have proficient software programming capabilities in Python and SQL.
* Have knowledge of at least several statistical analysis and simulation packages (Python [SciPy, iGraph, Statsmodels, PyMC, NumPY], R, Stata, SAS, JMP, MATLAB, @Risk etc.).
* Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you... * Have a Master's degree, or Ph.D, in data science, business analytics, statistics, economics, computer science, mathematics, engineering, or operations research.
* Have proficient software programming capabilities in Java, JavaScript, and/or C++
* Have a certification related to cost analysis (DAWIA or CCEA) and/or earned value management (EVMP)
* Have domain expertise in creating data analysis dashboards through Shiny, Python, JavaScript, CSS, Visual Basic, Tableau, etc. #LI-AG1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $85,000 Annually Maximum Rate $195,000 Annually

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