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Full Time Data Scientist Risk Jobs in Madison, WI

Innovizant LLC

Data Scientist

Madison, WI · On-site

... include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection ... Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection ... Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ...

Akima, LLC

Research Scientist II

Madison, WI · On-site

... risk as the fungus continues to spread. The position involves coordination of numerous state and ... Incumbents will collaborate with USGS staff and scientists to collect data, perform analyses, and ...

New

Merck Group

Technical Support Scientist

Madison, WI · On-site

$78K - $121K/yr

This position is located in Madison, WI and is full-time, on-site (with hybrid potential) Who You ... or customer data * Experience creating technical marketing materials, such as whitepapers ...

Stantec

Lead Wetland Scientist

Madison, WI · On-site

$73K - $105K/yr

Data management and analysis. * Attend client/regulatory meetings and provide input. * Possible ... Yes Schedule: Full time Job Posting: 31/07/2026 02:07:12 Req ID: 1007050 #additional Stantec ...

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All JobsData Scientist Risk JobsFull Time Data Scientist Risk JobsFull Time Data Scientist Risk Jobs in Madison, WI

Full Time Data Scientist Risk information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do full time data scientist risk jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time data scientist risk in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

Is a full time data scientist risk a risky job?

A full-time data scientist risk role involves analyzing data to identify potential threats and inform decision-making, which can be high-pressure but is generally not considered physically risky. The job often requires strong analytical skills, proficiency with tools like Python or R, and the ability to handle sensitive information, but it typically involves office or remote work environments with standard working hours. Overall, it is not inherently risky compared to physically demanding or hazardous occupations.

What are the most commonly searched types of Data Scientist Risk jobs in Madison, WI?

The most popular types of Data Scientist Risk jobs in Madison, WI are:

Full Time Data Scientist Risk jobs near you

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 5 days ago

Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com

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