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Fraud Data Scientist Jobs in Minnesota (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

The Data Scientist role involves leading predictive modeling and statistical analysis across ... • Fraud analytics experience is a plus. Company : RELX is a provider of information-based ...

RELX

Data Scientist

Minneapolis, MN

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ... Fraud analytics experience is a plus. Working for you We know that your wellbeing and happiness are ...

Abbott

MN

$45 - $47/hr

Education Level: Bachelors Degree ( 16 years) Biology, Health Sciences, Mathematics, Computer ... ID Fraud, and MetLife Pet Insurance 401(k) Abbott is a global healthcare leader that helps people ...

Abbott

Clinical Data Manager

Maple Grove, MN · On-site

$45 - $47/hr

Biology, Health Sciences, Mathematics, Computer Science, or equivalent. Experience Details: * 3 ... MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance * 401(k) Abbott is a global healthcare ...

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$45.1K

$161.6K

$238.5K

How much do fraud data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for fraud data scientist in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What are popular job titles related to Fraud Data Scientist jobs in Minnesota?

For Fraud Data Scientist jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Fraud Data Scientist jobs in Minnesota look for?

The top searched job categories for Fraud Data Scientist jobs in Minnesota are:

What cities in Minnesota are hiring for Fraud Data Scientist jobs?

Cities in Minnesota with the most Fraud Data Scientist job openings:

Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Scientist

Minneapolis, MN • On-site

RELX
Technology, Communication and Media • 10K+ employees
Learn more about RELXexternal

Full-time

Re-posted 18 days ago

Job description

Job Summary:
LexisNexis Risk Solutions is a key partner in risk assessment, offering solutions to enhance revenue and operational efficiency. The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions.
Responsibilities:
• Build and deploy machine learning models using R, Python, SAS, and SQL.
• Develop cloud-based analytic solutions and integrate them into enterprise systems.
• Analyze large datasets to uncover insights and support product development.
• Collaborate with stakeholders to validate scoring code and ensure model accuracy.
• Document methodologies and follow best practices in statistical modeling.
Qualifications:
Required:
• Computer Science, Statistics, Mathematics, or related field
• Experience in predictive modeling
• Proficiency in SAS, R, Python, and Big Data technologies
• Strong communication skills and ability to work cross-functionally
Preferred:
• Fraud analytics experience is a plus.
Company:
RELX is a provider of information-based analytics for professional and business customs. Founded in 1993, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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