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Summer 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 · 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. ...

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 ...

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 ...

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All JobsSummer Fraud Data Scientist Jobs

Summer Fraud Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 27, 2026, the average yearly pay for summer fraud data scientist 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 are the key skills and qualifications needed to thrive as a Summer Fraud Data Scientist, and why are they important?

To thrive as a Summer Fraud Data Scientist, you need a solid background in statistics, data analysis, and programming (typically Python or R), along with coursework or experience in machine learning and fraud detection concepts. Familiarity with data visualization tools (such as Tableau), SQL databases, and cloud analytics platforms is often required, and internships or certifications in data science can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and share actionable insights with stakeholders. These competencies are vital for detecting and preventing fraudulent activities, ensuring data-driven decisions, and contributing value in fast-paced business environments.

What are Summer Fraud Data Scientists?

Summer Fraud Data Scientists are professionals, often in internship or seasonal roles, who use data analysis and machine learning techniques to detect, prevent, and investigate fraudulent activities within organizations during the summer period. They work with large datasets to identify patterns and anomalies that could indicate fraud, and help develop models and tools to improve fraud detection systems. This role typically requires strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical methods and fraud detection strategies. Summer Fraud Data Scientists often collaborate with other data scientists, fraud analysts, and security teams to minimize financial losses and protect company assets.

What are some of the main challenges a Summer Fraud Data Scientist might face during their internship?

As a Summer Fraud Data Scientist, you may encounter challenges such as quickly learning industry-specific fraud patterns and adapting to the organization's data infrastructure. You'll often work with large, complex datasets that require robust data cleaning and feature engineering skills. Collaborating effectively with cross-functional teams—such as fraud analysts, engineers, and compliance officers—is essential for developing and deploying effective fraud detection models. Additionally, staying current with evolving fraud tactics and integrating new machine learning techniques can be both demanding and rewarding.

What is the difference between Summer Fraud Data Scientist vs Summer Data Analyst?

AspectSummer Fraud Data ScientistSummer Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of fraud detection techniquesBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and basic analysis
Work EnvironmentFinancial institutions, e-commerce, or insurance companies focusing on fraud preventionVarious industries including marketing, finance, and retail analyzing data trends
Employer & Industry UsageUsed in industries with high fraud risk, often in specialized teamsCommon across multiple sectors for general data insights

The Summer Fraud Data Scientist focuses on developing models and algorithms to detect and prevent fraud, requiring advanced analytical skills and knowledge of fraud patterns. In contrast, the Summer Data Analyst performs broader data analysis tasks, supporting business decisions through data visualization and reporting. Both roles are valuable but differ in complexity and focus, with the Fraud Data Scientist specializing in security-related analytics.

What cities are hiring for Summer Fraud Data Scientist jobs? Cities with the most Summer Fraud Data Scientist job openings:
What are the most commonly searched types of Fraud Data Scientist jobs? The most popular types of Fraud Data Scientist jobs are:
What states have the most Summer Fraud Data Scientist jobs? States with the most job openings for Summer Fraud Data Scientist jobs include:
Summer Fraud Data Scientist jobs near you
Infographic showing various Summer 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 $122,738 per year, or $59 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