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Internship Data Visualization Jobs in Silver Spring, MD

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

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All JobsData Visualization JobsInternship Data Visualization JobsInternship Data Visualization Jobs in Silver Spring, MD

Internship Data Visualization information

See Silver Spring, MD salary details

$12

$23

$43

How much do internship data visualization jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship data visualization in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What types of projects and tools can I expect to work with during a Data Visualization Internship?

As a Data Visualization intern, you will typically collaborate with data analysts and business stakeholders to create visual representations of complex datasets. You can expect to work on projects such as interactive dashboards, infographics, and reports using tools like Tableau, Power BI, or open-source libraries such as D3.js and Plotly. Interns often assist in cleaning and preparing data, designing visual layouts, and presenting findings to team members. This role offers valuable exposure to both technical and creative aspects of data storytelling, and provides a strong foundation for future roles in data analytics or visualization.

What are internship data visualization roles?

Internship data visualization roles are entry-level positions where interns learn to create visual representations of data to help organizations make data-driven decisions. These roles typically involve working with tools like Tableau, Power BI, or Python libraries to turn raw data into charts, graphs, and dashboards. Interns gain hands-on experience by assisting with data cleaning, analysis, and reporting tasks, while learning best practices in presenting complex information clearly and effectively. These internships are a great way for students and recent graduates to develop technical and analytical skills in a real-world setting.

What is the difference between Internship Data Visualization vs Data Analyst Intern?

AspectInternship Data VisualizationData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python), visualization
Work EnvironmentProject-based, collaborative teams, entry-levelData-focused projects, cross-departmental collaboration, entry-level
Industry UsageMarketing, finance, tech, researchBusiness, finance, healthcare, tech

Internship Data Visualization focuses on creating visual representations of data to communicate insights, often using tools like Tableau or Power BI. Data Analyst Interns perform broader data analysis, including statistical evaluation and data cleaning. Both roles are entry-level, require basic technical skills, and are used across various industries. The main difference lies in the emphasis: visualization versus comprehensive data analysis.

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

To thrive as an Internship Data Visualization, you need a solid understanding of data analysis, basic statistics, and proficiency with visualization concepts, often supported by coursework in computer science, statistics, or related fields. Familiarity with tools such as Tableau, Power BI, Excel, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is typically expected. Attention to detail, creativity, and effective communication skills help interns present data insights clearly to diverse audiences. These skills ensure that data-driven stories are accurately and compellingly conveyed to support decision-making.
What are the most commonly searched types of Data Visualization jobs in Silver Spring, MD? The most popular types of Data Visualization jobs in Silver Spring, MD are:
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Internship Data Visualization jobs near you

Data Scientist QxBranch

QxBranch

Washington, DC • On-site

Full-time

Posted 28 days ago

Job description

Company Description

QxBranch delivers predictive analytics solutions leveraging the emerging potential of Quantum Computing. To make high-stakes, complex business decisions, you must have confidence in the underlying insights and predictions. But how sure can you be when those predictions are based on a proverbial "black box"? That's why QxBranch Predictive Analytics solutions feature transparent data science, providing confidence in each prediction. To build Predictive Analytics solutions that endure, you must respond to changes in business concepts, market needs, and the underpinning technologies that deliver insights. QxBranch uses modern, adaptable data analytics tooling that can address your needs today, and is a leader in Quantum Computing software and applications that will enhance your solutions tomorrow.

QxBranch is headquartered in Washington, DC, with offices in London, UK and Adelaide, Australia. Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations.

Job Description

QxBranch is seeking a talented data scientist with a background in machine learning and taking data science solutions through to production. The successful applicant will be invited to join our welcoming, diverse team in Washington DC and work on innovative solutions to diverse problems. The role will require you to interact with clients and collaborate with QxBranch's passionate team of data scientists and systems engineers, shaping data analytics solutions to meet client needs.

Responsibilities:

  • Prototype, develop, and deploy complex analytics models for client systems
  • Organize, manage, and curate large and complex datasets
  • Work in an internationally distributed team, with schedule flexibility
  • Deliver high quality technical outcomes while adhering to cost and schedule constraints
  • Continue technical and professional development to ensure QxBranch technology remains on the cutting edge
Qualifications

Education and Experience:

  • Proficiency in Python and common machine learning packages such as scikit-learn, NLTK, and Theano
  • Competence in all portions of the data analytics pipeline, including ingest, cleaning, feature extraction, modeling, statistical validation, and visualization / reporting
  • Competence in software development practices including writing maintainable code, unit testing, version control, cloud-based development and performance profiling and tuning
  • Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred
  • Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and graduate level education
  •  

Desired Skills:

  • Expertise in one or more of: natural language processing, probabilistic modeling, time series analysis, anomaly detection, deep learning, behavioral analysis, causal analysis
  • Strong data visualization and data "storytelling" skills
  • Analytics experience in finance, insurance, and/or cyber security
  • Proficiency in other analytics technologies, such as R, SQL, CUDA, Hadoop, and Spark
  • Experience with Dataiku's Data Science Studio
Additional Information

QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and refrains from discriminating against individuals on the basis of national origin or citizenship. Within three (3) days of being hired, QxBranch requires each employee submit a Form I-9 and utilizes E-Verify to confirm employment eligibility.

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