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Summer Data Science Physics Jobs (NOW HIRING)

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 ...

Physics

Red Bank, NJ · On-site

$42K - $50K/yr

High School Teaching/Science - Physics Date Posted: 4/30/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

Physics

Red Bank, NJ · On-site

$44K - $55K/yr

High School Teaching/Science - Physics Date Posted: 6/2/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related ...

PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field * Minimum 3+ years of ...

Showing results 21-40

Summer Data Science Physics information

What is a Summer Data Science Physics?

A Summer Data Science Physics job is a temporary, usually internship-based position where students or recent graduates apply data science techniques to solve problems in physics. These roles typically involve working with large datasets, coding in languages like Python, and using statistical or machine learning methods to analyze experimental or simulation data. The goal is to gain hands-on experience at the intersection of physics and data science, often contributing to research projects or industry applications. Such positions are common at universities, research labs, and tech companies during the summer months, providing valuable exposure to both fields.

What are the key skills and qualifications needed to thrive as a Summer Data Science Physics intern?

To thrive as a Summer Data Science Physics intern, you need a solid background in physics, statistics, and programming, typically supported by coursework or a degree in physics, data science, or a related field. Familiarity with programming languages such as Python, data analysis libraries (e.g., NumPy, Pandas), and data visualization tools is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for extracting meaningful insights from scientific data and contributing to research projects in a collaborative environment.

What types of projects or research tasks can I expect to work on in a Summer Data Science Physics role?

In a Summer Data Science Physics position, you'll likely engage in projects that involve analyzing large datasets from physics experiments or simulations. Common tasks include data cleaning, statistical analysis, building predictive models, and visualizing results to support ongoing research. You'll often collaborate with physicists and data scientists, contributing to the interpretation of experimental data or the development of computational tools. This role offers a fast-paced, collaborative environment where you'll gain hands-on experience with both physics concepts and practical data science techniques.

What is the difference between Summer Data Science Physics vs Summer Data Science Engineering?

AspectSummer Data Science PhysicsSummer Data Science Engineering
Required CredentialsTypically requires physics or data science coursework, basic programming skillsRequires engineering fundamentals, programming, and data analysis skills
Work EnvironmentResearch labs, academic institutions, tech companiesManufacturing, product development, tech firms
Industry UsageResearch, academia, tech industryEngineering, manufacturing, software development
Common Search IntentComparing physics-focused data science roles with engineering data science rolesUnderstanding differences between physics and engineering data science internships

Summer Data Science Physics roles focus on applying data analysis within physics research or academic settings, often emphasizing theoretical understanding. In contrast, Summer Data Science Engineering positions are geared toward practical engineering applications, product development, and manufacturing. Both roles require programming skills and data analysis, but their industry focus and work environments differ significantly.

What cities are hiring for Summer Data Science Physics jobs?

Cities with the most Summer Data Science Physics job openings:

What are the most commonly searched types of Data Science Physics jobs?

The most popular types of Data Science Physics jobs are:

What states have the most Summer Data Science Physics jobs?

States with the most job openings for Summer Data Science Physics jobs include:

Nuclear Data Scientist

Idaho Falls, ID • On-site

Idaho National Laboratory
Scientific Research and Development Services • 5 - 10K employees

$66K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description


At Idaho National Laboratory, you'll analyze data and generate results across cloud, on-premises, and edge-based computational architectures, apply technologies including explainable AI, large language models, and physics-informed machine learning, and develop software including 3D visualization tools, parallel software, and web API solutions in support of research objectives. You'll work with domain experts to understand the scope of questions data can answer, design output metrics that describe system behavior, collaborate with government agencies, academia, and industry partners, and publish results in peer-reviewed journals and conference proceedings.
Essential Job Functions and Responsibilities:
  • Analyze data and generate results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based).
  • Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and/or data sensor fusion methodologies.
  • Apply nuclear engineering domain knowledge to identify opportunities for machine learning and data-driven analysis within nuclear systems, operations, or research programs.
  • Support the development, validation, and interpretation of ML models and data pipelines in the context of nuclear applications.
  • Collaborate with data science teams to translate nuclear engineering requirements into analytical frameworks.
  • Assist in the evaluation of model outputs using nuclear domain expertise to ensure physical accuracy and operational relevance.
  • Contribute to technical documentation, reports, and presentations related to ML-assisted nuclear engineering efforts
  • Lead efforts in writing journal articles, conference proceedings, etc.
  • Ability to coherently present complex materials to a wide audience.
  • Work under general supervision on defined tasks with moderate complexity.

Required:
  • Level 1: Bachelor of Science degree in data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline.
  • Working familiarity with machine learning concepts, data analysis tools, or scientific computing (e.g., Python, R).
  • Ability to interpret and communicate data-driven results within a nuclear engineering context.
  • The ability to obtain and maintain a DOE level "Q" security clearance, which requires U.S. citizenship.

The ideal candidate will possess:
  • Experience with nuclear simulation codes (e.g., MCNP, SCALE, RELAP, MOOSE)
  • Exposure to supervised/unsupervised learning techniques or data visualization tools
  • Degree in Nuclear Engineering or related discipline

Physical Requirements:
While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job Information:
Idaho National Laboratory is hiring a Nuclear Data Scientist to work on our Computational Data Science team. Our team works a 9x80 schedule located out of our REC facility with every other Friday off.
  • The pay range for this position is $66,504 - $136,356. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.
INL Mission:
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements:
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity:
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Reasonable Accommodation:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information:
When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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