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Internship Fraud Data Scientist Jobs (NOW HIRING)

Our innovative technology protects users from phishing, spoofing, fraud, business email compromise ... Must have at least 3 years of professional experience outside of academic or internship settings.

Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights ... Lead and manage data science projects, ensuring timely delivery and alignment with business goals.

Staff Data Scientist

Chicago, IL · On-site

$160K - $238K/yr

Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights ... Lead and manage data science projects, ensuring timely delivery and alignment with business goals.

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

Data Scientist

Burlingame, CA · On-site

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring systems at the heart of Jaris's merchant onboarding and embedded finance products. You'll work ...

Data Scientist

Burlingame, CA · On-site

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring systems at the heart of Jaris's merchant onboarding and embedded finance products. You'll work ...

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... Develop and maintain machine learning models for credit risk, fraud detection, and marketing ...

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... Develop and maintain machine learning models for credit risk, fraud detection, and marketing ...

Description Data Scientist American First Finance is seeking a Data Scientist to turn complex data ... Develop and maintain machine learning models for credit risk, fraud detection, and marketing ...

Develop and maintain machine learning models for credit risk, fraud detection, and marketing ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

The Risk Solutions Team employs data science methodologies (machine learning and statistical ... Our team helps the firm identify and measure credit and fraud risk to proactively manage the risk ...

Partner with cross-functional teams to improve fraud detection coverage and data quality * Monitor ... Computer Science, Statistics, Mathematics, or similar * 2+ years of experience in fraud ...

We're looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will: Generate Insights & Shape Direction * Translate complex data into ...

Data Scientist

Bowie, MD · On-site

$112K - $257K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

... across credit, fraud, and marketing. Responsibilities : • Analyze large datasets to uncover ... Required : • Master's degree (or equivalent) in Data Science, Business Analytics, or a related ...

Data Scientist

Lorton, VA · On-site

$112K - $257K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

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Internship Fraud Data Scientist information

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$46K

$165K

$243.5K

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

As of Jun 25, 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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Data Scientist

Data Scientist

MessageControl

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Job description

Company Description
MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks.
Job Description
As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment.
What you bring to the team:
  • Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy.
  • Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools.
  • Assess the potential usefulness and validity of new ML and DL approaches and data sources.
  • Develop proof-of-concept prototypes to prove out hypotheses.
  • Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication.
  • Help drive our data science culture and strategy.

Qualifications
Desirable Skills and Experience:
  • Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market.
  • Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus.
  • Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus.
  • Previous software development experience is required, including usage of version control systems such as git and writing tests
  • Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation.
  • Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results.

Additional Information
Perks/Benefits:
  • Direct access to senior management - our leadership team works alongside our team members every day.
  • Comprehensive medical, dental, and vision insurance.
  • Company paid life insurance, short term disability and long term disability.
  • Flexible paid time off (PTO) policy, plus sick days.
  • Ongoing professional development opportunities by level and function.
  • Your choice of Windows or Mac laptop.
  • Onsite gym.
  • Casual dress in a fun, friendly and collaborative work environment.
  • The ability to have significant impact every day.

Location:
  • Thisposition is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.