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Internship Python Data Science Jobs in Austin, TX

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

... and data science solutions. * Proficiency in Python and modern AI/ML libraries and frameworks. * Experience with model evaluation, experimentation, performance measurement, and validation ...

New

Cushman & Wakefield

Junior Data Scientist

Austin, TX

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

DoorDash

Analytics Engineer, Data Science

Austin, TX · On-site

Collaborate with data scientists, data engineers, and business stakeholders to understand business ... language such as Python or Scala * Experience in creating compelling reporting and data ...

Senseye

Research Data Analyst

Austin, TX · On-site

Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib ... Laboratory or human subjects research experience (academic lab, thesis project, internship, or ...

Senseye

Research Data Analyst

Austin, TX

Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib ... Laboratory or human subjects research experience (academic lab, thesis project, internship, or ...

Senseye

Research Data Analyst

Austin, TX · On-site

Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib ... Laboratory or human subjects research experience (academic lab, thesis project, internship, or ...

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Internship Python Data Science information

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

As of Jul 16, 2026, the average hourly pay for internship python data science in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 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 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 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 are the most commonly searched types of Python Data Science jobs in Austin, TX? The most popular types of Python Data Science jobs in Austin, TX are:
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Internship Python Data Science jobs near you
Sr. Software Engineer (Data Science/Data Engineering)

Sr. Software Engineer (Data Science/Data Engineering)

SpaceX

Bastrop, TX • On-site

$113K - $136K/yr

Full-time

Posted 8 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

7th of 61 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SR. SOFTWARE ENGINEER (DATA SCIENCE/DATA ENGINEERING)
The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flights as well as systems that allow Starlink to grow into a worldwide fast, reliable internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.
Our team is creating systems to analyze data from events like rocket launches or factory production workloads to always-on telemetry from the Starlink satellite constellation with point-in-time analysis, historical analysis and machine learning. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more.
Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.
RESPONSIBILITIES:
  • Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX
  • Create new applications that improve how the business at SpaceX operates
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into engineering problems and involve in corporation/coordination with domain experts

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of professional experience in software development; OR 7+ years of professional experience building software in lieu of a degree
  • 3+ years of professional experience in full-stack development

PREFERRED SKILLS AND EXPERIENCE:
  • 3+ years of professional experience in data engineering or data science
  • 2+ years of hands-on experience applying ML techniques (ex: CNNs, RNNs) to datasets
  • Programming experience in Python, C#, or similar languages
  • Experience working with data analysis libraries such as Python Pandas
  • Experience with machine learning libraries like SciPi and PyTorch
  • Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar
  • Experience with relational databases such as PostgreSQL
  • Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
  • Goodunderstanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods.
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Some front-end experience in Angular, React, or similar JavaScript framework

ADDITIONAL REQUIREMENTS:
  • You may be asked to work extended hours/weekends dependent on launch cadence
  • Must be willing to travel when needed

ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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