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Intern Python Data Science Jobs in Thousand Oaks, CA

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

  • Medical

  • PTO

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

... data science, analytics, or a related quantitative role. * Working knowledge of SQL and experience querying large datasets. * Proficiency in Python or R for data analysis. * Foundational ...

Amgen Inc. (IR)

Data Scientist

Thousand Oaks, CA · On-site

$134 - $182/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R / Python * A working understanding of common machine learning ...

Amgen

Data Scientist

Thousand Oaks, CA · On-site

$181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R / Python * A working understanding of common machine learning ...

Socket.dev

Data Scientist, Prime Video Science

Culver City, CA · On-site

$136 - $184/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 2+ years of ... D. in a quantitative field such as statistics, mathematics, data science, business analytics ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

2K

Senior Technical Product Manager, Data Science

Los Angeles, CA · On-site

$136K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R; * Customer-focused mentality with focus on the Why and What without getting lost in the What and ...

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All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Thousand Oaks, CA

Intern Python Data Science information

See Thousand Oaks, CA salary details

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

As of Aug 18, 2026, the average hourly pay for intern python data science in Thousand Oaks, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $25.77 per hour, depending on experience, location, and employer.

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 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 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 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 cities near Thousand Oaks, CA are hiring for Intern Python Data Science jobs?

Cities near Thousand Oaks, CA with the most Intern Python Data Science job openings:

Intern Python Data Science jobs near you
Infographic showing various Intern Python Data Science job openings in Thousand Oaks, CA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $49,195 per year, or $23.7 per hour.

Data Scientist II

Oscar Health

Los Angeles, CA • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 12 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

257th of 309 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

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