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Data Science Intern Jobs in Phoenix, AZ (NOW HIRING)

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

Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation. * Collaborate across departments to ...

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

Data Scientist II

Tempe, AZ · On-site

$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

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 ...

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 ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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

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 ...

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

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

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 ...

Qualifications: - Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field. - 3+ years of experience in machine learning, statistical modeling, and ...

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 ...

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Showing results 21-40

Data Science Intern information

See Phoenix, AZ salary details

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How much do data science intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science intern in Phoenix, AZ is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.98 per hour, depending on experience, location, and employer.

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 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 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.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Phoenix, AZ?

The most popular types of Data Science jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Science Intern jobs?

Cities near Phoenix, AZ with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,862 per year, or $21.1 per hour.

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 18 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

260th of 311 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

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