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Fraud Detection Machine Learning Jobs in Raleigh, NC

CoVar

Signal Processing Engineer

Durham, NC

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... RF signal processing, electronic warfare, optimization, array processing, machine learning ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Experience in developing Machine Learning models using Python (preferably in the cloud ... Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data ...

Duke University

Associate in Research

Durham, NC · On-site

... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...

CoVar

Software Engineer

Durham, NC

We build advanced software and machine learning systems that help the Department of Defense detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that ...

Duke University

Associate in Research

Durham, NC · On-site

... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...

Kitware

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...

Kitware

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...

Kitware

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal classification and sensor exploitation. - Ensure algorithm designs are robust ...

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Fraud Detection Machine Learning information

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How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Raleigh, NC is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $18.70 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Raleigh, NC?

For Fraud Detection Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Fraud Detection Machine Learning jobs?

Cities near Raleigh, NC with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,500 per year, or $17.5 per hour.

Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina

Chapel Hill, NC • On-site

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Own delivery of large and/or complex machine learning, deep learning, and Generative AI systems with self-learning capabilities.

  • Design, implement, evaluate, and optimize AI systems and algorithms to meet business needs and demonstrate feasibility through prototypes and proof-of-concept implementations.

  • Lead consultation sessions with business partners to distill needs and provide technical guidance on predictive and prescriptive AI approaches.

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

197th of 315 rated insurance

Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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