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Intern Python Data Science Jobs in Irvine, CA (NOW HIRING)

... Python code for model training and experimentation using libraries and frameworks such as pandas ... to data science best practices, model documentation, and the creation of reusable modeling ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Senior Data Scientist

Cerritos, CA · On-site

$120K - $150K/yr

Use a diverse skill sets across math and computer science, dedicated to solving complex and ... Proficient in Python, NumPy and other packages * Familiar with statistical and ML methodology ...

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer ... Proficient in Python, NumPy and other packages * Familiar with statistical and ML methodology ...

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Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for intern python data science in Irvine, CA is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

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

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are the most commonly searched types of Python Data Science jobs in Irvine, CA? The most popular types of Python Data Science jobs in Irvine, CA are:
What are popular job titles related to Intern Python Data Science jobs in Irvine, CA? For Intern Python Data Science jobs in Irvine, CA, the most frequently searched job titles are:
What cities near Irvine, CA are hiring for Intern Python Data Science jobs? Cities near Irvine, CA with the most Intern Python Data Science job openings:
Infographic showing various Intern Python Data Science job openings in Irvine, CA as of June 2026, with employment types broken down into 1% Internship, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $50,245 per year, or $24.2 per hour.
Senior Python Engineer

Senior Python Engineer

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Top 3 Skills
Python
ETL
Experience within structured and un-structured data
Unstructured data into relational databases
AWS
Requirements:
• You have a Bachelor's Degree in Computer Science (or related field) and have 5+ years of relevant work experience in business intelligence, data engineering, data warehousing, or a similar field.
• You have expert level experience with SQL and Python, with intermediate around Hive, Pig
• You remain active in learning emerging practices and technologies in the BI/DW and data science space.
• You are comfortable and confident in your knowledge of multiple database programming languages and your knowledge of relational and columnar databases.
• You have experience integrating data from multiple data sources and have processed large amounts of unstructured data.
• You have experience with Cloud technologies (AWS preferred), Big Data Components (Apache Spark, Hadoop, Presto, etc.), and Continuous Integration tools is desired, but not required.
Data Engineer Job Responsibilities:
• Provide significant contributions to the growth of our Data infrastructure
• Design, develop, test and deploy business intelligence solutions
• Design and document data structures/models and data flows
• Interact with various business units and technical teams to gather requirements
• Review, optimize and document current ETL processes
• Ensure data quality, completeness, and accuracy
• Collaborate with team members in code reviews, discovering better practices and patterns and continuous improvements