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Internship Data Scientist Risk Jobs in California

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Description The Sr. Data Scientist in the Research and Development (R&D) group at Align works ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Align Technology, Inc.

Sr. Data Scientist

San Jose, CA · On-site +1

The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Waymark

Senior Data Scientist

San Francisco, CA · On-site +1

$133K - $202K/yr

Senior Data Scientist Location: San Francisco, CA About Waymark Waymark is a mission-driven team of ... internships, or research assistantships, performing the following duties: * Programming in Python ...

Waymark

Senior Data Scientist

San Francisco, CA · On-site

$133K - $202K/yr

Senior Data Scientist Location: San Francisco, CA About Waymark Waymark is a mission-driven team of ... internships, or research assistantships, performing the following duties: * Programming in Python ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

... risk assessment.In this role, you willdevelop data-driven and applied machine learning methods to ... Develop and apply data science and machine learning methods to characterize and assess energy ...

Replit

Data Scientist

Foster City, CA · On-site

$150K - $250K/yr

Build churn and retention models to identify at-risk users and inform lifecycle intervention ... Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.

LLNL

Energy Resilience Data Scientist

Livermore, CA

... and risk assessment. In this role, you will develop data-driven and applied machine learning ... Develop and apply data science and machine learning methods to characterize and assess energy ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

... risk assessment.In this role, you willdevelop data-driven and applied machine learning methods to ... Develop and apply data science and machine learning methods to characterize and assess energy ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior ...

Verse

Senior Data Scientist

San Francisco, CA

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior ...

AECOM

Reporting Data Scientist

Sacramento, CA · On-site

The Reporting Data Scientist will support enterprise-level decision-making by developing advanced ... risk management leads to integrate data and produce unified analytical outputs for ...

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Internship Data Scientist Risk information

What does an Internship Data Scientist Risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist in risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.
What are the most commonly searched types of Data Scientist Risk jobs in California? The most popular types of Data Scientist Risk jobs in California are:
What are popular job titles related to Internship Data Scientist Risk jobs in California? For Internship Data Scientist Risk jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Data Scientist Risk jobs in California look for? The top searched job categories for Internship Data Scientist Risk jobs in California are:
What cities in California are hiring for Internship Data Scientist Risk jobs? Cities in California with the most Internship Data Scientist Risk job openings:
Internship Data Scientist Risk jobs near you
Data Scientist II

Data Scientist II

Oscar Health

Los Angeles, CA • 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

228th of 261 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.