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Intern Data Science Insurance Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

They apply analytical and data science methods to real world datasets to solve ongoing business ... insurance and accidental death & dismemberment insurance. • Employee and Family Assistance ...

They apply analytical and data science methods to real world datasets to solve ongoing business ... Life insurance and accidental death & dismemberment insurance. Employee and Family Assistance ...

They apply analytical and data science methods to real world datasets to solve ongoing business ... Life insurance and accidental death & dismemberment insurance. Employee and Family Assistance ...

Intern

Tucson, AZ · On-site

$28/hr

As an intern, you will work alongside experienced engineers to help build, maintain, and modernize ... Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science ...

AI Development Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Management Information Systems (MIS), or a closely related field. * Completed coursework or ...

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 ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Experience within a large financial services, banking, insurance, or consulting environment is ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Experience within a large financial services, banking, insurance, or consulting environment is ...

Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ... Company paid life insurance * Contests and appreciation events throughout the year full of prizes ...

Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ... Company paid life insurance * Contests and appreciation events throughout the year full of prizes ...

Senior/Staff CHAR Engineer

Phoenix, AZ · On-site

$140K - $210K/yr

Master's in electrical & Computer Engineering or Data Science; * OR, Bachelor's in same area with related intern or working experience Pay Range USD $140,000.00 - USD $210,000.00 /Yr.Qualifications:

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Intern Data Science Insurance information

What does an Intern Data Science Insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

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

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What types of projects can an Intern in Data Science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.
What are the most commonly searched types of Data Science Insurance jobs in Arizona? The most popular types of Data Science Insurance jobs in Arizona are:
What job categories do people searching Intern Data Science Insurance jobs in Arizona look for? The top searched job categories for Intern Data Science Insurance jobs in Arizona are:
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th 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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