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Data Science Intern Jobs in California (NOW HIRING)

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 implementation, who also possesses a strong scientific curiosity and desire to learn new things. Primary ...

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 ...

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 ...

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 ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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Data Science Intern information

See California salary details

$11

$22

$41

How much do data science intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data science intern in California is $22.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

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

The most popular types of Data Science jobs in California are:

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

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

Infographic showing various Data Science Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,196 per year, or $22.2 per hour.

Data Science Intern

Leidos

San Diego, CA • On-site

$57K - $104K/yr

Full-time

Re-posted 5 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 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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