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Internship Data Scientist Risk Jobs in California

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

In financial crimes risk management, Quantifind's solution uniquely combines internal financial ... Members of the Data Science team prototype and build complex Machine Learning solutions, improve ...

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

In financial crimes risk management, Quantifind's solution uniquely combines internal financial ... Members of the Data Science team prototype and build complex Machine Learning solutions, improve ...

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Designing experiments that navigate the tradeoff between growth and risk - expanding access to ...

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 ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... risk models, and player behavior systems. Every model we ship touches real money and real users.

Senior Data Scientist

San Francisco, CA · On-site

$150K - $200K/yr

Role: Senior Data Scientist Comp Range: 150K-200K base No 3rd party/C2C No sponsorship available at this time Client is re-writing the risk model for the non-QM mortgage market -combining data ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... risk models, and player behavior systems. Every model we ship touches real money and real users.

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/yr

Exposure to financial industry, risk management, data driven operations process management required. * Experience developing data science infrastructure to manage financial processes preferred. * Be ...

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/yr

Exposure to financial industry, risk management, data driven operations process management required. * Experience developing data science infrastructure to manage financial processes preferred. * Be ...

Data Scientist, FinEng

San Francisco, CA · On-site

$293K - $515K/yr

We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure ... About the Role As Manager of Data Science for Financial Engineering, you will lead the measurement ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... internship or industry) or relevant academic coursework/projects. * Strong programming skills in ...

The Data Scientist collaborates across functional areas--including cost, schedule, risk, and finance--to integrate data sources, improve data quality, enhance reporting workflows, and design ...

New

Data Scientist II

Los Angeles, CA · On-site

$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 ...

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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 cities in California are hiring for Internship Data Scientist Risk jobs? Cities in California with the most Internship Data Scientist Risk job openings:
Senior Data Scientist, Decisions - Risk

Senior Data Scientist, Decisions - Risk

Lyft

San Francisco, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Lyft rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

2nd of 9 rated taxi private hire


Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You'll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.

Responsibilities:
  • Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims. 
  • Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action
  • Construct and fit statistical, machine learning, or optimization models
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, the business, as well as the driver experience
  • Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.
Experience:
  • Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
  • 5+ years of industry experience in a data science, analytics, or management consulting role.  
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
  • Proficiency in SQL and Python
  • Experience with insurance claims analytics a plus
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners


Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.


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About Lyft

Sourced by ZipRecruiter

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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