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Data Scientist Risk Jobs (NOW HIRING)

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Senior Decision Scientist, Risk

San Francisco, CA · On-site +1

The Role We're looking for a Decision Scientist to develop, implement, and own automatic risk ... In this role, you'll apply data-driven techniques to identify opportunities, design risk policies ...

Elder Research

Data Scientist

Arlington, VA · On-site

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Elder Research

Data Scientist

Arlington, VA

As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

TAD PGS, Inc.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

TAD PGS, Inc

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

NYC- Hybrid About the Team Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic decisions of the world's leading organizations. Candidates will have ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods ... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

Planet Technologies

Data Scientist

Washington, DC · On-site

Improves methodologies and tools for risk assessment. * Researches and recommends business data ... Incorporates data science tools (SQL, R, Python, etc.) into services. Qualifications: * Strong ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

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How much do data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data scientist risk in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects or problems do Data Scientist Risk professionals typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What is a Data Scientist Risk job?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

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

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

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What cities are hiring for Data Scientist Risk jobs? Cities with the most Data Scientist Risk job openings:
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Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Generative AI Scientist - (Model Risk & Validation)

Generative AI Scientist - (Model Risk & Validation)

Cotiviti

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services

Job description

Overview
Join a recently formed team focused on Model Risk and Responsible AI. The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and seek to utilize their skills to reduce the cost of healthcare and improve health quality and outcomes. As a Data Scientist on this team, you will focus on three main project areas: Model Validation, Model Metrics and Monitoring, and Responsible AI. This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to think in terms of technology systems, and some understanding of emerging areas of Responsible AI and AI Ethics. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.
Responsibilities
  • As a Generative AI Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects.
  • Conduct independent model validation of existing models for benchmarking, assessment, and gauging effectiveness.
  • Determine aspects of model drift and related data drift for the purpose of model risk management (MRM) to both reduce risk and also find opportunities to drive new revenue growth and innovation. Apply deep expertise with AI/ML/GenAI model development, including hands-on experience with model building and model evaluation.
  • Benchmark and potentially rebuild existing models as needed using updated data, and potentially newer, more modern and effective algorithms.
  • Actively drive improvements in model monitoring activities, including methods for model registration, model metadata management, and conceptualizing approaches for related tools and techniques. Complete all responsibilities as outlined in the annual performance review and/or goal setting.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications
  • Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
  • Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
  • 1+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Experience working with Apache Spark™ and large-scale distributed datasets.
  • Experience communicating technical concepts to non-technical and technical audiences is a plus.
  • Passion for collaboration, learn it all mindset and driving value with AI.

Preferred Qualifications:
  • Familiarity with healthcare payor ecosystem and related data.
  • General understanding of Responsible AI (RAI), including explainability (XAI), AI NIST RMF, and related AI risk management frameworks.
  • Experience and understanding evaluating models for bias and fairness, with aptitude for detecting bias in the model design and data, as well as using metrics such as SHAP and LIME.
  • Understanding appropriate model metrics and techniques for managing, evaluating and monitoring GenAI models and LLMs.
  • Understanding and familiarity with model governance and data governance best practices.
  • Strong understanding of technology systems for model development (e.g., Python, DataRobot, AWS Sagemaker), model deployments (AWS, Azure, DataRobot, DataBricks), model monitoring (AWS Model Monitor, MLFlow, NannyML, FiddlerAI, Arize) and related tools for model management and metadata management.

Cognitive / Mental Requirements:
  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • Professional with ability to properly handle confidential information.
  • Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
  • Ability to handle multiple tasks, prioritize and meet deadlines.
  • Ability to work within a matrixed organization.
  • Proficiency in all required skills and competencies above.
  • Communicating with others and teamwork.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:
  • Flexibility to work with global teams as well geographically dispersed US based teams.
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.

Base compensation ranges from $110,000 to $130,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/23/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/23/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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