1

Data Scientist Internship Jobs in Arizona (NOW HIRING)

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

next page

Showing results 1-20

Data Scientist Internship information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data scientist internship jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data scientist internship in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Arizona?

The most popular types of Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Data Scientist Internship jobs?

Cities in Arizona with the most Data Scientist Internship job openings:

Infographic showing various Data Scientist Internship job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,564 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other Data Scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

What State Farm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom