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Intern Nvidia Data Scientist Jobs (NOW HIRING)

Cotiviti

Temporary Intern - Data Scientist

$20 - $26/hr

Overview We are looking for a curious, driven Data Science intern to join our analytics team for the summer. You will work on real healthcare data problems alongside full-time data scientists and ...

Parkhill

Senior Data Scientist

Austin, TX · On-site +1

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... education, professional licensing, intern development programs, University of Parkhill.

US Department of the Air Force

$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.

US Department of the Air Force

$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.

US Department of the Air Force

$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.

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... education, professional licensing, intern development programs, University of Parkhill.

Parkhill

Senior Data Scientist

Houston, TX · On-site

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... education, professional licensing, intern development programs, University of Parkhill.

Parkhill

Senior Data Scientist

Austin, TX · On-site

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... education, professional licensing, intern development programs, University of Parkhill.

US Department of the Air Force

$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.

US Department of the Air Force

DATA SCIENTIST

Aurora, CO · On-site

$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.

Parkhill

Senior Data Scientist

Austin, TX

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate ... education, professional licensing, intern development programs, University of Parkhill.

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Intern Nvidia Data Scientist information

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$46K

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$243.5K

How much do intern nvidia data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for intern nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What types of projects can an intern expect to work on as a Data Scientist at Nvidia?

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 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.
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Intern Nvidia Data Scientist jobs near you
Temporary Intern - Data Scientist

Temporary Intern - Data Scientist

Cotiviti

Remote

$20 - $26/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

37th of 203 rated it services

Job description

Overview
We are looking for a curious, driven Data Science intern to join our analytics team for the summer. You will work on real healthcare data problems alongside full-time data scientists and engineers - not internal demos - touching everything from data wrangling and feature engineering to model evaluation and lightweight deployment.
This is not a passive internship. Healthcare is a domain where accuracy, compliance, and explainability matter, and you will help shape how predictive and analytical models inform decisions for payers and providers. Expect to ship something you are proud of by the end of the summer.
Responsibilities
Depending on your strengths and team needs, you will contribute to one or more of the following areas:
• Predictive modeling and feature engineering
• Build and evaluate classification or regression models using Python and standard ML libraries
• Engineer features from claims, clinical, or operational datasets
• Measure model performance using AUC, log-loss, calibration, and other appropriate metrics
• Data analysis and quality
• Clean, transform, and profile datasets; document data-quality findings and assumptions
• Write SQL against relational databases to extract and shape analytical inputs
• Communicate findings through clear visualizations and written summaries
• Model deployment and reproducibility
• Build lightweight APIs or endpoints to surface model outputs (e.g., FastAPI)
• Contribute to version-controlled, reproducible workflows using Git
• Document pipelines so teammates can extend and audit your work
• Applied research support (stretch opportunity)
• Assist with experiments at the intersection of ML and healthcare workflows
• Explore approaches such as adaptive fine-tuning or evaluation harnesses for LLM-based components
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications
• Education: currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field
• Programming: hands-on experience with Python for data analysis - pandas, scikit-learn, matplotlib
• Core ML: solid understanding of classification, regression, train/test discipline, and model evaluation
• SQL: comfort writing queries against relational databases
• Project ownership: experience taking a project end-to-end - question, data, model, insight - through coursework, personal projects, or prior internships
• Communication: ability to explain technical work clearly to non-technical stakeholders
Nice to have:
• Exposure to model deployment using REST APIs, FastAPI, or similar
• Familiarity with Git and basic experiment tracking
• Experience with R, XGBoost, or other gradient-boosting libraries
• Interest in healthcare data, payer/provider workflows, or regulated environments
• Exposure to LLMs, fine-tuning techniques (e.g., LoRA), or evaluation methods
What you'll gain:
• Hands-on experience building production-oriented data science work, not just demos
• Exposure to real-world challenges in healthcare analytics - accuracy, compliance, explainability
• Mentorship from experienced data scientists and engineers on a dedicated summer project
• A defined deliverable and end-of-term demo to your team and broader stakeholders
• Cohort programming, cross-functional networking, and competitive intern compensation
Cognitive/Mental Requirements:
  • Communicating with others to exchange information.
  • Problem-solving and thinking critically.
  • Completing tasks independently.
  • Interpreting data.
  • Making timely decisions in the context of a workflow.
  • Maintaining focus.
  • Assessing the accuracy, neatness and thoroughness of the work assigned.
  • Learning new tasks and completing tasks in situations that have a speed or productivity quota.
  • Remembering and adhering to processes and protocols.

Physical Requirements and Working Conditions:
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Communicating with others to exchange information.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Assessing the accuracy, neatness and thoroughness of the work assigned.
  • No adverse environmental conditions expected.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.

Hourly compensation ranges from $20 to $26 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting:6/5/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 8/5/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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