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Graduate Data Science Intern Jobs in Arizona (NOW HIRING)

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Graduate Data Science Intern information

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Arizona?

For Graduate Data Science Intern jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Graduate Data Science Intern job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist Intern - In Office, Scottsdale, AZ only

Scottsdale, AZ β€’ On-site

Sandhills Global, Inc.
Software DevelopmentΒ β€’Β 1 - 5K employees

Full-time, Internship

Re-posted 21 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
β€’ Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
β€’ Experience in Python or R, and various libraries/packages
β€’ Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
β€’ Ability to perform critical thinking and statistical analysis
β€’ Strong oral and written communication skills
β€’ Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
β€’ Experience with SQL, stored procedures, or APIs preferred
β€’ Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
β€’ Ability to commute when scheduled to the local office is required
β€’ Able to work independently and communicate within a team environment
β€’ Results oriented
β€’ Flexible and open to change
β€’ Stable and progressive work history
β€’ Professional appearance and demeanor
β€’ Hours during regular work week, Ability to commute daily to local office is required.

What Sandhills Global employees say

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Hours and flexibility

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