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Internship Data Science Physics Jobs (NOW HIRING)

Databricks

Staff Data Scientist

San Francisco, CA · On-site

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

Applied Physics

Data Scientist

New York, NY · On-site

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

Jobs for Humanity

Data Science Managers

Piscataway, NJ · On-site

... physics, computer science, statistics, or related field; made outstanding contributions in basic ... data stewardship; and successfully led large multidisciplinary teams engaged in national ...

Applied Physics

Data Scientist

New York, NY · On-site

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

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

As of Aug 19, 2026, the average hourly pay for internship data science physics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship data science physics?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.

What types of projects or tasks can I expect to work on during an internship data science physics?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What are the key skills and qualifications needed to thrive as an internship data science physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

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

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

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Internship Data Science Physics jobs near you
Infographic showing various Internship Data Science Physics job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 70% Full Time, 5% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist, Senior Enterprise DS & AI Org - Only W2

Rootshell Enterprise Technologies, Inc.

Remote

Full-time

Re-posted 2 days ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Scientist, Senior-Enterprise DS & AI Org for one of our client, Please share your resume with current location & full contact info
Role: Data Scientist, Senior-Enterprise DS & AI Org
Location: Remote
Only W2
Job Summary:
Notes: Computer vison model experience a must. We will require detail writeup on experience with computer Vison Model.
Key points
  • Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Competency in the mathematical and statistical fields that underpin data science
  • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
  • Strong in Python & R

Education Minimum: Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Education Desired: Master's degree in one of the above areas.
Experience Minimum: 4 years in data science (or 2 years, if possess master's degree, as described above).
Knowledge, Skills, Abilities and (Technical) Competencies:
• Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
• Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment
• Competency in commonly used data science and/or operations research programming languages, packages, and tools.
• Hands-on and theoretical experience of data science/machine learning models and algorithms
• Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
• Competency in the mathematical and statistical fields that underpin data science
• Mastery in systems thinking and structuring complex problems
• Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
• Desired: experience building computer vision models
• Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)
With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com

Apply