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Internship Python Data Science Jobs in Santa Barbara, CA

GIS Analyst I

Santa Barbara, CA ยท On-site +1

$25 - $31/hr

This role will support field data collection efforts, geospatial analysis, cartography, and ... Experience with Python, SQL, or R for geospatial automation and analysis is a plus. * Strong ...

Senior Radar Systems Engineer

Santa Barbara, CA ยท On-site

$116.30K - $159.10K/yr

... and advance scientific discovery. Our team delivers data at scale with unmatched quality ... Proven experience in machine learning. * 10+ years experience with Python's scientific stack: Numpy ...

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Internship Python Data Science information

See Santa Barbara, CA salary details

$13

$25

$46

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

As of May 28, 2026, the average hourly pay for internship python data science in Santa Barbara, CA is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $27.26 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What cities near Santa Barbara, CA are hiring for Internship Python Data Science jobs? Cities near Santa Barbara, CA with the most Internship Python Data Science job openings:
Infographic showing various Internship Python Data Science job openings in Santa Barbara, CA as of May 2026, with employment types broken down into 6% Internship, 69% Full Time, 13% Part Time, 6% Temporary, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,084 per year, or $25 per hour.
Professional Environmental Data Manager

Professional Environmental Data Manager

Geosyntec Consultants, Inc.

Santa Barbara, CA โ€ข On-site

$110.13K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Overview

Do you want to build an impactful career to change the world for the better?ย 

Geosyntec has an exciting opportunity for aย Professional Environmental Data Managerย in ourย Santa Barbara, San Diego, or Ventura, Californiaย office.ย  The position will apply your academic knowledge and solid understanding and experience with standard practices and techniques used when working with environmental chemistry data to support and manage projects that include environmental assessments, groundwater remediation, water resources, geotechnical construction, and more.ย 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.

We invest in our people.ย  Each employee is unique, and your career at Geosyntec will be too.ย  We offerย competitive pay and benefits, and well-being programsย to support you and your family.

To Learn More Visit:ย http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Designing, developing, and managing project-specific relational database applications using enterprise (MS SQL Server, EQuIS) database software;
  • Developing comprehensive workflows and metadata to automate compilation of data from multiple sources and serve data to maps, reports, and other tools;
  • Managing and organizing datasets for the entire lifecycle of environmental data, from planning to final reporting activities,
  • Providing QA/QC on data, systems, and processes related to environmental data,
  • Compiling, verifying, analyzing, and reporting large and diverse datasets;
  • Interacting with internal and external providers (laboratories, consultants, agencies, etc.) to coordinate collection and transfer of data to project databases;
  • Collection, manipulation, querying, and analysis of databases and environmental analytical and geospatial data;
  • Interacting with internal and external clients to support database management and data visualization for environmental, engineering, and geoscience projects.
Education and Licensure
  • Bachelor's degree in environmental science, chemistry, geography, computer science, engineering, or geology. (required)
  • Advanced degree in environmental science, chemistry, geography, computer science, engineering, or geology. (preferred)
Skills, Experience and Qualifications
  • At least 5 years of technical training and experience in relational database technology, or equivalent combination of education and experience. (required)
  • Experience with database management and building ETL processes. (required)
  • Advanced proficiency with MS Excel and MS Access, including the ability to write complex formulas and visualize data effectively. (required)
  • Ability to write complex SQL queries and automate routine processes. (required)
  • Exceptional attention to detail in quantitative work products, written communication, spelling, and grammar. (required)
  • Proficiency with Microsoft SQL Server, including the ability to automate processes (preferred).ย 
  • Proficiency with EarthSoft's EQuIS environmental data management platform (preferred)
  • Ability to automate processes using scripts (e.g., Python, R). (preferred)
  • Direct experience managing environmental, geologic, and geotechnical data collection. (preferred)
  • Knowledge of laboratory analytical data verification and validation processes. (preferred)
  • Experience submitting data to-and obtaining data from-agency and government databases (e.g., CA Water Boards Geotracker, Arizona Department of Environmental Quality, NIRIS, ERPIMS, CEDEN) (preferred)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

This opportunity will be posted for at least five days. Below are the potential compensation ranges that we in good faith believe are applicable for this role at the time of this posting and are only applicable for jobs to be performed in the specified location(s) below. The typical base salary range for this position is just one component of Geosyntec's total compensation package for employees. Actual compensation will be determined based on education, experience, skill set and location.

  • Minimum Salary: $84,710 /year / Maximum Salary: $110,125 /year (San Diego, Santa Barbara, Ventura, CA)

We offer a comprehensive benefits package including, paid holidays, vacation, sick, and personal paid time off, medical, dental, vision, life, and disability insurance, 401(k), and other benefits to eligible employees.

Employment Type: FULL_TIME