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Internship Data Scientist Risk Jobs (NOW HIRING)

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

Cotiviti

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... As a Data Scientist on this team, you will focus on three main project areas: Model Validation ...

Strategygen Co.

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

Prism Data

Lead Data Scientist

San Diego, CA

Lead Data Scientist Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

Tech Consulting

Be Seen First

Data Scientist

Tampa, FL · On-site

$35 - $42/hr

... Have) Internship or project experience in data science Experience with libraries like Scikit-learn, TensorFlow, or PyTorch Knowledge of data visualization tools (Tableau, Power BI) Basic ...

Newton Research

Data Scientist

Boston, MA · On-site

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Koalafi

Senior Data Scientist

Richmond, VA

Partner with data science, risk, and engineering leaders to shape modeling strategy, improve credit policy, and strengthen fraud defenses in response to customer behavior and macroeconomic trends

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Internship Data Scientist Risk information

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$243.5K

How much do internship data scientist risk jobs pay per year?

As of Jun 2, 2026, the average yearly pay for internship data scientist risk in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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.
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Internship Data Scientist Risk jobs near you
Infographic showing various Internship Data Scientist Risk job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Principal Data Scientist

Principal Data Scientist

STRATEGYGEN CO

Jacksonville, FL • Remote

$130K - $165K/yr

Full-time

Posted 8 days ago

Job description


About the Role
We are seeking a Principal Data Scientist to lead the design, maintenance, and annual evolution of risk assessment and compliance analytics solutions supporting CMS Marketplace oversight programs. This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across QHP issuers, web brokers, agents/brokers, and Direct Enrollment (DE/EDE) entities. 
What You Will Do
·         Lead development and ongoing refinement of structured risk assessment methodologies, including changes to data sources, measure design, risk attribution logic, and scoring calculations.
·         Design and develop compliance risk dashboards and performance monitoring tools adopted by CMS policy and audit stakeholders for operational decision-making, leveraging data visualization platforms such as Power BI, Tableau, or MS Excel.
·         Design data-driven methodologies to identify and quantify compliance risk using multi-source datasets, including the preparation and maintenance of composite measure frameworks and multi-stage risk scoring pipelines.
·         Support issuer compliance reviews, DE/EDE audits, and agent/broker oversight activities by translating regulatory requirements into technical specifications and testable data logic.
·         Develop AI and machine learning solutions with explainability to prioritize and detect noncompliance, and implement agentic AI workflows that automate ingestion, validation, and normalization of compliance data.
·         Support development and maintenance of machine-readable public use files (PUFs) and associated validation logic.
·         Integrate and harmonize CMS data systems to produce actionable insights and executive reporting, ensuring risk scoring outputs are clearly communicated to non-technical and senior stakeholders.
·         Collaborate with CMS policy, audit, and IT teams to continuously enhance oversight systems and analytical processes.
What We Are Looking For
·         Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Information Systems, Statistics, Public Health, Health Informatics, or related field.
·         5+ years of hands-on experience in advanced analytics or data science within regulated environments such as healthcare, insurance, government, or financial services.
·         3+ years of experience leading technical or cross-functional teams.
·         Proven experience building risk scoring methodologies, predictive models, or compliance analytics frameworks involving multi-source datasets.
·         Proficiency in Python and/or R, SQL, and structured data analysis (SAS experience a plus) and experience using Databricks.
·         Experience working with large, complex, multi-source datasets.
·         Expert-level proficiency in data visualization platforms (Power BI, Tableau, or MS Excel) with demonstrated experience producing dashboards for senior and non-technical stakeholders in a regulatory or federal program environment.
·         Strong ability to communicate technical methodology and findings clearly to non-technical and executive stakeholders.
·         Ability to pass a background investigation or federal security clearance for contracted project work; holding an active CMS Enterprise User Administration (EUA) ID is desired.
Preferred Experience
·         Experience supporting CMS, CCIIO, ACA Marketplace, or other federal oversight programs.
·         Familiarity with QHP compliance reviews, DE/EDE, or agent/broker oversight, agent/broker oversight, or the ACA regulatory framework.
·         Experience developing explainable AI or human-in-the-loop decision support tools.
·         Experience with methodology documentation, SOP development, or audit-ready analytical frameworks