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Data Science Intern Jobs in Arizona (NOW HIRING)

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

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

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

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 ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. • 3-5 years of experience in data science or advanced analytics ...

Unitek Learning

People Data Scientist

Tempe, AZ

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

ASM

Talent Insights Intern (Spring 2027)

Phoenix, AZ

$15 - $19.75/hr

Currently pursuing a Master's degree in Data Analytics, Data Science, Business Analytics, AI/ML ... As an intern, you will gain hands-on experience by working on industry-relevant workforce ...

QuantumClean

Data Scientist

Phoenix, AZ

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus. * Experience * 3- 5 years of experience in data science or ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

Unitek Learning

People Data Scientist

Tempe, AZ

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus. * Experience * 3- 5 years of experience in data science or ...

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How much do data science intern jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data science intern in Arizona is $20.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
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What job categories do people searching Data Science Intern jobs in Arizona look for? The top searched job categories for Data Science Intern jobs in Arizona are:
What cities in Arizona are hiring for Data Science Intern jobs? Cities in Arizona with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,621 per year, or $21 per hour.
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

238th of 281 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

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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