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Internship Fraud Data Scientist Jobs (NOW HIRING)

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

Truist

Fraud Data Scientist II

Charlotte, NC

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

Truist

Fraud Data Scientist II

Charlotte, NC · On-site

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

BOK Financial

Data Product Owner - Fraud

Addison, TX

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

BOK Financial

Data Product Owner - Fraud

Addison, TX · On-site

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX · On-site

They are seeking a Fraud Data Product Owner to lead the transformation of fraud detection and ... Required : • Bachelor's Degree in Computer Science, Data Science, Business or a related field • ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

BOK Financial

Data Product Owner - Fraud

Tulsa, OK · On-site

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

PayPal

Staff Data Scientist, Fraud

Chicago, IL

$160K - $238K/yr

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

PayPal, Inc.

Staff Data Scientist, Fraud

Chicago, IL · On-site

$160K - $238K/yr

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

SentiLink

Data Scientist, New Grad

As a Data Scientist, you will build fraud detection models and advance products in financial risk ... internships, or personal projects • Demonstrated ability to analyze complex problems and build ...

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Internship Fraud Data Scientist information

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$165K

$243.5K

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

As of Jul 28, 2026, the average yearly pay for internship fraud data scientist 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 Fraud Data Scientist, and why are they important?

To thrive as an Internship Fraud Data Scientist, you need a solid grounding in statistics, data analysis, and machine learning, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with programming languages such as Python or R, data visualization tools, and experience with databases and fraud detection systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication help interns present findings and collaborate with cross-functional teams. These competencies are essential for accurately detecting fraudulent activities and supporting data-driven decisions in a fast-paced business environment.

What does an Internship Fraud Data Scientist do?

An Internship Fraud Data Scientist assists in detecting and preventing fraudulent activities by analyzing large datasets and building predictive models. They work with data related to financial transactions, customer behavior, and patterns of fraud to identify suspicious activities. Interns often use machine learning, statistical analysis, and data visualization tools to support the fraud prevention team. They may also help prepare reports and communicate findings to stakeholders, contributing to the organization's overall risk management strategy.

What kind of projects can an Internship Fraud Data Scientist expect to work on, and how do these contribute to the organization?

As an Internship Fraud Data Scientist, you will likely assist in developing and testing machine learning models aimed at detecting fraudulent transactions or behaviors. Your projects may involve data cleaning, exploratory data analysis, feature engineering, and model evaluation using real-world datasets. These tasks directly contribute to the organization's efforts to minimize financial loss and improve the accuracy of their fraud detection systems. You'll also gain exposure to industry-standard tools and collaborate closely with senior data scientists, risk analysts, and engineering teams, providing valuable learning and networking opportunities.
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Internship Fraud Data Scientist jobs near you
Infographic showing various Internship Fraud Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Posted 2 days ago

Job description

****Local to Cupertino only***Must be local to Cupertino***
 
 

Citizens only

6 months 

full linkedin

Date of birth

NO FAKE RESUMES 

Job Title: Fraud Data Analyst
Company: Big Four Client
Location: Bay Area (CA)
Work Authorization: U.S. Citizen or Green Card Holder
 
Duration: 7+ Months
 
Must have: Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
◦ Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
◦ Develop and maintain dashboards and reports that monitors suspicious activities
trends.
◦ Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
◦ Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
◦ Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products."

Overview

We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay Area. In this critical role, you will leverage your advanced PySpark expertise (6–9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customer's business. You will work cross-functionally with Fraud, Legal, Operations, Product, and Business Development teams to proactively detect, analyze, and mitigate complex gift card fraud schemes.

Key Responsibilities

  • Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
  • Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
  • Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
  • Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
  • Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
  • Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Advanced-level proficiency in PySpark (6–9 years of hands-on experience), including large-scale data processing and ETL workflows.
  • Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
 
If you are interested or have any references please share resume at mukul@brightmindsol.com