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

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Familiarity with modern data and ML ecosystems (Python, cloud platforms, MLOps frameworks, data ...

Director, Data Science & Insights

Irvine, CA ยท On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Familiarity with modern data and ML ecosystems (Python, cloud platforms, MLOps frameworks, data ...

Data Scientist

Irvine, CA ยท On-site

$100K - $130K/yr

... of hands-on data science experience; proven track record in developing and deploying ML models. * Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)

Data Scientist

Irvine, CA

$100K - $130K/yr

... of hands-on data science experience; proven track record in developing and deploying ML models. * Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)

Computer Science Data Engineering Information Systems or a related technical field Hands-on ... Python and SQL Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts ...

Computer Science Data Engineering Information Systems or a related technical field Hands-on ... Python and SQL Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts ...

Collaborate effectively with internal clients to translate their needs into data science use cases ... Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and ...

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Intern Python Data Science information

See Irvine, CA salary details

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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.

ETL Modernization Lead Data Architecture / AWS Lead with Python Pyspark

Altitude Technology Solutions Inc

Irvine, CA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Experience level โ€“ 12+ years
 
We are looking for an experienced ETL Modernization Lead to drive largescale data transformation initiatives involving migration from legacy ETL platforms Informatica PowerCenter to modern cloud native data engineering frameworks Python PySpark AWS Databricks
This role will be responsible for solution architecture onsite client engagement delivery leadership and modernization strategy execution working closely with business stakeholders and offshore engineering teams
 
Mandatory Skills : Apache Airflow, AWS Glue, Databricks, PySpark-Data Science, Python & Data Lakehouse.
 
Strong hands on with below :
Python Py Spark
SQL Data Modelling
Experience with cloud platforms
AWS S3 Glue Redshift or equivalent
Databricks Snowflake preferred
 
Strong understanding of:
Data pipelines
Batch streaming architectures
Strong experience in ETL tools Informatica PowerCenter or similar
Data warehousing concepts
Architecture Design
Proven experience in data architecture and solution design
Experience in data modernization migration programs
Knowledge of metadata management and data governance tools eg Collibra
Leadership Delivery
Experience managing onsite offshore delivery models
Strong experience in client facing roles
Ability to lead largescale programs across multiple workstreams
 
Preferred Experience:
Experience in Capital Markets Financial Services domain
 
Exposure to:
Data quality frameworks
AIML based data solutions
Agile Scaled Agile delivery models
Experience in building modern data platforms BI COE initiatives