ZipRecruiter

Log In

1

Internship Data Science Law Jobs (NOW HIRING)

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

next page

Showing results 1-20

All Jobsdata science Jobslaw Jobsinternship JobsInternship Data Science Law Jobs

Internship Data Science Law information

See salary details

$12

$22

$42

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

As of Aug 31, 2026, the average hourly pay for internship data science law 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 the difference between Internship Data Science Law vs Legal Intern?

AspectInternship Data Science LawLegal Intern
Required CredentialsBasic knowledge of data science, programming, law fundamentalsLaw students, legal studies background
Work EnvironmentLegal firms, tech companies, law departmentsLaw firms, courts, legal departments
Employer & Industry UsageLegal and tech industries integrating data analysisLegal industry primarily
Common Search & ComparisonYesYes

Internship Data Science Law and Legal Intern roles both involve legal environments, but the former emphasizes data analysis skills applied to legal issues, while the latter focuses on traditional legal research and case work. The choice depends on whether you want to develop data science expertise within legal contexts or gain legal practice experience.

Can I get an internship in data science law?

Internships in data science law are available at organizations that combine legal expertise with data analysis skills. Candidates typically need a background in data science, law, or related fields, and may be required to demonstrate proficiency in programming languages like Python or R, as well as understanding of legal data and regulations. These internships often provide practical experience in applying data analysis to legal issues and may require a strong analytical mindset and familiarity with legal research tools.

What cities are hiring for Internship Data Science Law jobs?

Cities with the most Internship Data Science Law job openings:

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

The most popular types of Data Science Law jobs are:

What states have the most Internship Data Science Law jobs?

States with the most job openings for Internship Data Science Law jobs include:

Internship Data Science Law jobs near you
Infographic showing various Internship Data Science Law job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Internship - Data Management

QuEra Computing, Inc.

Boston, MA

$30 - $40/hr

Internship

Re-posted 29 days ago

Job description

About QuEra Computing, Inc.

QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers. We are looking for the Photonics Data Engineer Intern to join us for Fall 2026.

Responsibilities

  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield).  Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

Compensation Range: $30-$40/hr

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-DA1

Apply