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Data Science Internship Jobs in Gilbert, AZ (NOW HIRING)

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

... internship experiences and or schoolwork/classes/research. Minimum Qualifications * Bachelor's degree in computer science, Data Science or a related technical discipline with 5+ years of experience ...

Talent Insights Intern (Spring 2027)

Phoenix, AZ · On-site

$15 - $19.75/hr

Our interns will work alongside industry projects and gain valuable insights into our core ... Currently pursuing a Master's degree in Data Analytics, Data Science, Business Analytics, AI/ML ...

Preferred : • Internship or project experience in AI, machine learning, or data science. • Exposure to cloud platforms (AWS, Azure, GCP) and data visualization tools. • Experience with version ...

Our interns gain exposure to real projects while working side by side with senior staff. Through ... Learn basic principles of environmental surveying and permitting. * Assist with field data ...

Application Engineering Intern

Chandler, AZ · On-site

$16.25 - $21.25/hr

Enrolled in bachelor's or master's program in Engineering, Computer Science, Data Science, or ... Understanding of basic software engineering Internship Details: * Duration: 10-12 weeks (Summer ...

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Data Science Internship information

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How much do data science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science internship in Gilbert, AZ is $22.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 per hour, depending on experience, location, and employer.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.
What are the most commonly searched types of Data Science jobs in Gilbert, AZ? The most popular types of Data Science jobs in Gilbert, AZ are:
What are popular job titles related to Data Science Internship jobs in Gilbert, AZ? For Data Science Internship jobs in Gilbert, AZ, the most frequently searched job titles are:
What cities near Gilbert, AZ are hiring for Data Science Internship jobs? Cities near Gilbert, AZ with the most Data Science Internship job openings:
Infographic showing various Data Science Internship job openings in Gilbert, AZ as of May 2026, with employment types broken down into 66% Full Time, 19% Part Time, and 15% Contract. Highlights an 33% Physical, 11% Hybrid, and 56% Remote job distribution, with an average salary of $46,660 per year, or $22.4 per hour.
Digital Enablement Data Scientist

Digital Enablement Data Scientist

State Farm

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,355 frontline employees who took The Breakroom Quiz

183rd of 258 rated insurance


Job description

Overview

State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science 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 AI/ML solutions. 

Applicants for this posting will be considered for a data scientist opening in Enterprise Technology – Data & AI (ET-D&AI). This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science professionals with experience in building AI/ML solutions to enhance customer engagement within our digital platform.

At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. In ET-D&AI you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.


Responsibilities

Data Science at State Farm

As a data scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills to our data science suites. Below are some of the tasks you can expect in the typical day of a data scientist: 

  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support AI/ML solution 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
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary 

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 Lead/mentor other data scientists, interns, and other technical work teams through interactions with technical and non-technical business partners. Our data scientists also embrace staying current with the evolving data science landscape.  


Qualifications

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • 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 designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: 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) 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: $112,000 - $151,000
    • 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!

#LI-LP1

#LI-Hybrid

Qualifications:

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • 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 designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: 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) for this opportunity.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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