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Freelance Data Scientist Risk Jobs in Minnesota (NOW HIRING)

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 ...

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business ... About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ...

... Scientist to help advance our data forensics, fraud detection, and exam security analytics ... Create and maintain risk scoring methodologies that support investigative prioritization. * Analyze ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Product Data Scientist

Minneapolis, MN · On-site

$100K - $140K/yr

As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to ... Build pricing, promo, and refund-risk models that quantify the financial impact of monetization ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ...

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI ... Experience with Actuarial, Risk and Forecasting Models Preferred Qualifications: * Experience with ...

As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to ... Build pricing, promo, and refund-risk models that quantify the financial impact of monetization ...

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Freelance Data Scientist Risk information

What is the difference between Freelance Data Scientist Risk vs Freelance Data Analyst Risk?

AspectFreelance Data Scientist RiskFreelance Data Analyst Risk
Required CredentialsAdvanced degrees in data science, statistics, or related fields; certifications like CAP, DASCABachelor's or master's in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentComplex modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic statistical analysis
Employer & Industry UsageConsulting firms, finance, healthcare, tech companiesBusiness intelligence, marketing, finance, healthcare

Freelance Data Scientist Risk focuses on advanced analytics and predictive modeling, requiring specialized skills and certifications. Freelance Data Analyst Risk handles data reporting and visualization, often with less technical depth. Both roles serve different client needs but share a focus on risk-related data analysis.

What are the most commonly searched types of Data Scientist Risk jobs in Minnesota? The most popular types of Data Scientist Risk jobs in Minnesota are:

Data Scientist

RELX

Minneapolis, MN • On-site

Full-time

Re-posted 15 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.