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

Currently pursuing a Bachelor's or Master's degree in: • Computer ScienceData Engineering ... Python and SQL Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts ...

... 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 ...

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 II

Norco, CA · On-site

$115K - $130K/yr

... Science, Mathematics, Statistics, Engineering, or related field * Two to five years of experience as a Data Scientist or in a related data analysis role * Proficiency in Python, R, or similar ...

... science. * Strong ability to create and deliver effective presentations to multiple audiences. * Advanced expertise using data analytic software such as R, Python, SQL. * Expert knowledge of ...

New

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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$45

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

As of Jul 14, 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

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.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,245 per year, or $24.2 per hour.
Data Engineering Intern

Data Engineering Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Internship

Re-posted 3 days ago


Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across
industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.
The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based
equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data
pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.
This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.
KEY RESPONSIBILITIES
• Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data
• Develop data workflows and automation using Python, SQL, and AWS services
• Support data ingestion, transformation, validation, and monitoring processes
• Work with structured and semi-structured data from cloud and edge-based systems
• Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models
• Assist with integration and optimization of OLTP and OLAP systems
• Troubleshoot pipeline issues and contribute to improvements in data reliability and performance
ADDITIONAL RESPONSIBILITIES
• Create and maintain documentation, including data flows, system diagrams, and technical specifications
• Participate in code reviews and adhere to engineering best practices
• Support initiatives to improve data quality, observability, and operational efficiency
• Contribute to continuous improvement of data infrastructure and workflows
Other Duties:
• Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.
• Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.
• Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes.
• Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.
QUALIFICATIONS
Education/Experience:
Currently pursuing a Bachelor's or Master's degree in:
• Computer Science
• Data Engineering
• Information Systems
• or a related technical field
Hands-on experience with Python and SQL
Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts
Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift)
Exposure to cloud platforms, preferably AWS
Knowledge/Skills/Abilities
• Strong foundation in Python programming and SQL/database fundamentals
• Basic understanding of data engineering concepts, including pipelines, transformation, and storage
• Familiarity with cloud computing and distributed systems
• Analytical mindset with strong problem-solving capabilities
• Ability to quickly learn new tools, technologies, and frameworks
• Strong attention to detail and commitment to data accuracy and quality
• Effective communication skills, both written and verbal
• Ability to collaborate in cross-functional team environments
Preferred / Bonus Qualifications
• Experience with workflow orchestration tools (e.g., Apache Airflow)
• Familiarity with AWS services such as S3, Lambda, Glue, or Redshift
• Exposure to Docker, Linux, or shell scripting
• Understanding of OLTP vs. OLAP systems
• Experience with data lakes, data warehousing, or analytics platforms
• Interest in machine learning and data-driven systems
• Experience with Git or version control systems

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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012