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Graduate Data Science Intern Jobs in California (NOW HIRING)

Leidos

Data Science Intern

San Diego, CA · On-site

$57K - $104K/yr

We are seeking a Data Science Intern with an interest in algorithm research, development, and ... Currently enrolled in a graduate program working towards a master's degree in Computer Science ...

SupportFinity™

Data Science Intern

Menlo Park, CA · On-site

$95.98 - $116.06/hr

As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data‐driven insight ...

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Graduate students with a record of excellence * Exceptional advanced undergraduates All candidates ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Graduate students with a record of excellence * Exceptional advanced undergraduates All candidates ...

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Graduate Data Science Intern information

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in California?

For Graduate Data Science Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Graduate Data Science Intern jobs in California look for?

The top searched job categories for Graduate Data Science Intern jobs in California are:

What cities in California are hiring for Graduate Data Science Intern jobs?

Cities in California with the most Graduate Data Science Intern job openings:

Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science Intern

Leidos

San Diego, CA • On-site

$57K - $104K/yr

Full-time

Re-posted yesterday

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

80th of 499 rated business services

Job description

Leidos tackles the most challenging national defense problems using advanced signal processing algorithms and data analytics. At our San Diego, CA office, we have a dedicated and experienced team of Scientists and Engineers devoted to squeezing the last bit of information from every data set. We are seeking a Data Science Intern with an interest in algorithm research, development, and implementation, who also possesses a strong scientific curiosity and desire to learn new things.

Primary Responsibilities:

  • Work with a mentor to develop cutting edge machine learning algorithms and statistical models for national defense.

  • Work with a mentor to research and apply state-of-the-art solutions to novel problems across the active and passive sensing domains.

  • Work with a mentor to conduct actionable data analysis.

  • Contribute to AI/ML research code in support of rapid prototyping.

  • Document results.

  • Work collegially within a talented team of peers.

Basic Qualifications:

  • Currently enrolled in a graduate program working towards a master's degree in Computer Science, Data Science, Mathematics, or related field.

  • Experience in Python and the standard machine learning libraries.

  • Good analytical and mathematical skills.

  • Interest in scientific algorithm development, applied machine learning research, large dataset analysis, and signal processing methodologies.

  • Interest in innovation, problem solving, and achieving technical results.

  • Ability and desire to learn new concepts.

  • Ability to obtain a Top-Secret Security Clearance.

  • U.S. citizenship is required.

Preferred Qualifications:

  • Experience with machine learning methods and concepts.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 28, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $57,850.00 - $104,575.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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