1

Intern Nvidia Data Scientist Jobs in Virginia (NOW HIRING)

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

... science, statistics, economics, or a related field. * Completed coursework in statistics, data ... The intern's specific assignments, schedule, and scope of work are established with the supervising ...

... science, statistics, economics, or a related field. * Completed coursework in statistics, data ... The intern's specific assignments, schedule, and scope of work are established with the supervising ...

... science, statistics, economics, or a related field. * Completed coursework in statistics, data ... The intern's specific assignments, schedule, and scope of work are established with the supervising ...

next page

Showing results 1-20

Intern Nvidia Data Scientist information

What does an intern Nvidia data scientist do?

An Intern Nvidia Data Scientist works with experienced teams to analyze large datasets, develop models, and create data-driven solutions using machine learning and deep learning techniques. The role often includes tasks like data cleaning, exploratory analysis, model training, and performance evaluation. Interns may also help optimize algorithms for Nvidia hardware platforms and contribute to real-world projects that impact Nvidia’s products and services. This experience provides interns with valuable exposure to cutting-edge AI technologies and industry best practices.

What types of projects can an intern Nvidia data scientist expect to work on?

As a Data Scientist intern at Nvidia, you can expect to work on a variety of projects that leverage large datasets and advanced machine learning techniques. Typical assignments may involve developing models for computer vision, natural language processing, or GPU-accelerated data analytics. You'll likely collaborate closely with experienced scientists, software engineers, and product teams, contributing to both research-oriented and production-focused tasks. These projects offer valuable exposure to real-world challenges and cutting-edge technologies, providing an excellent foundation for future career growth in the field.

What are the key skills and qualifications needed to thrive as an intern Nvidia data scientist, and why are they important?

To thrive as an Intern Nvidia Data Scientist, you need a strong background in statistics, machine learning, programming (Python, R), and a relevant degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, CUDA, and data visualization software is often expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These competencies are crucial for successful project contributions, effective teamwork, and leveraging Nvidia's advanced technologies in real-world data science applications.

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

AspectIntern Nvidia Data ScientistIntern Nvidia Data Analyst
Required CredentialsRelevant degree in Data Science, Computer Science, or related field; programming skills in Python, R; basic understanding of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams focusing on advanced analytics, machine learning models, and AI projectsData reporting, visualization, and interpreting data trends for business insights
Employer & Industry UsageUsed across Nvidia's AI, autonomous vehicles, and research divisionsApplied in marketing, sales, and product teams for data-driven decision making

Intern Nvidia Data Scientists focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Intern Nvidia Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are valuable in Nvidia's tech environment but differ in technical depth and project scope.

What are the most commonly searched types of Nvidia Data Scientist jobs in Virginia?

The most popular types of Nvidia Data Scientist jobs in Virginia are:

What job categories do people searching Intern Nvidia Data Scientist jobs in Virginia look for?

The top searched job categories for Intern Nvidia Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Intern Nvidia Data Scientist jobs?

Cities in Virginia with the most Intern Nvidia Data Scientist job openings:

Intern - Year Round (Data Scientist)

Navy Federal Credit Union

Vienna, VA

Full-time

Posted 7 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

62nd of 151 rated financial services


Job description

The Data Scientist Intern supports advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy. This role applies statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.

The intern works closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.

****A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by clicking the "Attach Cover Letter" button during your application.
 

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • FORTUNE 100 Best Companies to Work For 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes 2025 America's Best Large Employers
  • Forbes 2025 America's Best Employers for New Grads
  • Forbes 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence 
  • Military.com Top Military Spouse Employers 2025 
  • 2025 Handshake Early Talent Award

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

  • Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
  • Strong foundation in statistics, probability, and predictive modeling
  • Proficiency in Python or R for data analysis and modeling
  • Experience working with large datasets using SQL or similar tools
  • Demonstrated ability to structure and analyze complex, real-world data problems
  • Strong analytical reasoning and problem-solving skills
  • Ability to communicate technical concepts clearly
  • Curiosity, initiative, and ability to learn quickly in an applied business environment 

Desired Qualifications

  • Experience with machine learning or predictive modeling projects
  • Experience with spatial, geographic, or demographic data
  • Familiarity with ETL processes and data preparation workflows
  • Experience with Alteryx and/or ArcGIS
  • Experience with feature engineering and model evaluation techniques
  • Experience with Databricks, Spark, or cloud data environments
  • Interest in applied analytics for market strategy, location intelligence, or growth analytics 

Hours: 

  • Monday - Friday, 8:00AM - 4:30PM  (Part-Time at least 20 hrs/week), scheduling based around school schedule

Location:

  • 820 Follin Lane SE Vienna, VA 22180
  • 5550 Heritage Oaks Dr Pensacola, FL 32526
  • Develop and evaluate predictive models to estimate member growth, market potential, and branch demand
  • Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market
  • Support model validation, performance assessment, and documentation
  • Analyze member demographic, behavioral, and geographic data to generate market insights
  • Contribute to market sizing, segmentation, and opportunity analyses
  • Support development of demand and growth forecasting methodologies
  • Collaborate with GIS analysts to incorporate geographic features into predictive models
  • Engineer spatial and demographic features for modeling and analysis
  • Support analyses linking member behavior and geography to branch strategy
  • Extract, clean, and integrate large datasets from enterprise data platforms (SQL, Databricks, etc.)
  • Build reproducible data pipelines and modeling datasets
  • Ensure data quality and documentation for analytical workflows
  • Summarize analytical findings and model outputs for technical and business audiences
  • Contribute to presentations, visualizations, and analytical documentation
  • Translate quantitative results into clear business implications 
  • Perform other duties as assigned

What Navy Federal Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933