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Internship Data Scientist Risk Jobs in California

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Partner with project controls, scheduling, cost management, risk management, finance, and program ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Partner with project controls, scheduling, cost management, risk management, finance, and program ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

Unchain Data

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187 - $220/hr

Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions ...

Quantifind

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 ...

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

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 ...

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 ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ... Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and ...

Taskrabbit

Staff Data Scientist

San Francisco, CA

$170K - $225K/yr

About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ... Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and ...

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

They are seeking a Data Scientist to help build, evaluate, and continuously improve mitigations ... emerging risk areas). • Diagnose false positives and false negatives with deep error analysis ...

Parafin

Data Scientist, Underwriting

San Francisco, CA · On-site

$190 - $230/hr

Our Impact Data science is integral to Parafin's mission. Our platform partnerships and lending ... Performing risk-based pricing optimization and experimentation * Collaborating with engineering to ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ... Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and ...

Triumph Arcade, Inc

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.

Socket.dev

Data Scientist

San Mateo, CA · On-site

$120 - $160/hr

About The Role We are seeking a talented Data Scientist to join our dynamic team, with the ... Your insights will help identify new opportunities for growth, risk management, and customer ...

Triumph

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.

Ramp

Data Scientist

San Francisco, CA · On-site

$140 - $200/hr

Minimum of 4 years of industry experience as a Data Scientist * Strong knowledge of SQL (preferably ... Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ...

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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 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 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:

Internship Data Scientist Risk jobs near you

Reporting Data Scientist

Luster National

Sacramento, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

About the Position
We're seeking a Reporting Data Scientist to support large, complex infrastructure programs, including highways, roads, bridges, transit (rail and bus), international airports, and water/wastewater projects delivered through both traditional and alternative project delivery methods. This role will support enterprise-level project controls and program management functions by developing advanced analytics, predictive models, automated reporting solutions, and executive dashboards that transform complex project, program, financial, cost, schedule, and risk data into actionable business intelligence. The successful candidate will help drive data-informed decision-making across some of the nation's largest infrastructure programs. Based on the source materials, this role will support program-wide analytics, forecasting, reporting automation, and visualization initiatives within a Project Controls organization.
This is a long-term, full-time, on-site position located in Sacramento, CA.
Responsibilities may include, but are not limited to, the following:
  • Develop, maintain, and continuously improve enterprise-level data models, analytics frameworks, reporting workflows, and performance measurement systems.
  • Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management.
  • Design, develop, and maintain Power BI dashboards, visualizations, and automated reporting solutions for executive leadership and project stakeholders.
  • Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and opportunities for process improvement.
  • Partner with project controls, scheduling, cost management, risk management, finance, and program management teams to integrate data from multiple sources and produce unified analytical outputs.
  • Support monthly, quarterly, and executive-level reporting cycles through preparation, validation, and analysis of project and program data.
  • Identify opportunities to automate manual reporting processes and improve data accessibility, quality, and efficiency.
  • Establish and maintain data governance, quality assurance, and validation procedures to support reliable decision-making.
  • Collaborate with project teams and stakeholders to collect, validate, consolidate, and interpret data from multiple systems and platforms.
  • Present analytical findings, dashboard insights, trends, and recommendations to executive management and other stakeholders.
  • Support board-level reporting requirements and strategic program performance initiatives.
  • Contribute to PMIS, reporting, analytics, and business intelligence improvements across major capital infrastructure programs.

Attributes
  • Excellent written and verbal communication and interpersonal skills.
  • Excellent analytical thinking, problem-solving, and data storytelling capabilities.
  • Collaborative mindset that fosters teamwork, trust, positive relationships, and effective coordination across cross-functional stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines simultaneously.
  • Strong attention to detail and commitment to accuracy, quality, accountability, and continuous improvement.

Minimum Qualifications
  • Master's degree in data science, computer science, statistics, engineering, business analytics, or related field.
  • 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs, collaborating with (at a minimum) program controls, program scheduling, and program risk management teams.
  • Experience supporting major capital infrastructure, transportation, transit, aviation, water/wastewater, or construction programs.
  • Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs.
  • Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions.
  • Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices.
  • Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs.
  • Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics.
  • Strong proficiency with Python, R, SQL, or similar programming and analytics tools.
  • Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms.
  • Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

Preferred Qualifications
  • Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification.
  • Experience leading analytics initiatives or contributing to analytics/reporting teams supporting major infrastructure programs.
  • Experience supporting project controls, cost management, scheduling, risk management, or PMO functions.
  • Experience developing Kanban-style, Agile, or workflow visualization dashboards.
  • Experience with PMIS, Oracle, Primavera P6, enterprise reporting platforms, or large-scale business intelligence environments.
  • Proficiency with desktop publishing software, Visio, and professional graphics software.

Compensation Details
Expected Salary: $140k-$210k/year ($67-$101/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate's level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
  • Unlimited flexible time off
  • Paid holidays
  • Paid parental leave
  • Health, dental, and vision insurance
  • Flexible spending accounts (healthcare and dependent or elder care)
  • Long-term disability insurance
  • Short-term disability insurance
  • Life insurance and accidental death and dismemberment
  • 401(k) plan with guaranteed employer contribution
  • Formal career planning and development program
  • $2,500 annually toward professional development
  • Wellness program with monthly wellness stipend
  • Company cell phone or cell phone plan reimbursement
  • Free personalized meal planning and nutrition support with a registered dietitian
  • Free personal financial planning services
  • Employee assistance program
  • Employee discounts
  • Employee referral bonus

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email for accommodations necessary to complete the application process.

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