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Predictive Modeler Jobs in Illinois (NOW HIRING)

Munich Re

Data Scientist

Chicago, IL · On-site +1

We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML ...

Munich Re

Data Scientist

Bloomington, IL · On-site +1

We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML ...

University of Utah

Data Scientists

Campus, IL

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and ...

University of Utah

Data Scientists

Campus, IL

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and ...

University of Utah

Data Scientists

Campus, IL

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and ...

CEDENT

Sr. Data Scientist

Chicago, IL

... predictive modeling, segmentation, etc) Must be a local Candidate(Remote) Responsibilities • Perform hands-on modeling and complex analyses using Python, SQL and/or R • Build and enhance media ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Implement predictive forecasting and analytical models to support strategic decision-making. Automate data workflows and reporting processes to improve operational efficiency. Ensure data quality ...

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Predictive Modeler information

See Illinois salary details

$10

$56

$80

How much do predictive modeler jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for predictive modeler in Illinois is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $66.15 per hour, depending on experience, location, and employer.

What is a predictive modeler?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

How does a predictive modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are the key skills and qualifications needed to thrive as a predictive modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

What are popular job titles related to Predictive Modeler jobs in IL?

For Predictive Modeler jobs in IL, the most frequently searched job titles are:

Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in Illinois as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $118,340 per year, or $56.9 per hour.

Predictive Analytics Consultant

Chicago, IL • On-site

Dunn Solutions Group
IT Services • 51 - 200 employees
Learn more about Dunn Solutions Groupexternal

Full-time

Re-posted 6 hours ago

Job description

Company Description

Dunn Solutions Group is a full-service information technology consulting firm. We bring exceptional strategic experience, design skills and technology expertise to every project, plus complementary capabilities in client education.
Focused on the business intelligence, application development and web/portal spaces, Dunn Solutions Group delivers services worldwide through offices in Chicago, Minneapolis, Raleigh, St. Louis, and Bangalore, India.
We work closely with our software vendor partners including SAP, Liferay, Microsoft, Informatica and others to deliver solutions to our clients.
Our IT professionals and business experts bridge the gap between business needs and technical solutions. Over the years, we have cultivated our experience and knowledge in a large number of industries and technologies in order to provide our customers with the most valuable solutions possible.
Specialties
Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce
Website
http://www.dunnsolutions.com

Job Description

Dunn Solutions is growing our predictive analytics practice. Come join our experienced business intelligence and analytics team as we leverage the power of data and predictive modeling to change the way our clients run their businesses.  This multi-dimensional role will report directly to our Predictive Analytics Practice Leader and will work with both our internal team and clients in a variety of verticals including retail, healthcare, and finance.
This is a full time position with benefits located right outside of Chicago in our Skokie, IL headquarters.
About Us - Dunn Solutions Group is an information technology consulting firm with exceptional strategic experience, design skills and technologic expertise. Focused on the business intelligence, application development and web/portal spaces, we deliver services through our offices in Chicago, Minneapolis, Raleigh, and Bangalore, India.
We are growing and we are seeking individuals who want careers, not just a job. If you want to make something happen in the technology world and enjoy working on challenging projects, seriously consider joining the Dunn Solutions Team.
Responsibilities
Strong generic understanding of functionality and/or willingness and ability to acquire deep SAP/KXEN knowledge
    Ability to demonstration the value of the solution (not just demonstrate the functionality), and the ability to build a strong working relationship with client and Dunn team.
    Builds and maintains models, including extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics and SAS.
    Possess teamwork, high integrity, self-starter, can-do attitude, problem solver
    Development of new or revised statistical systems, and problem solving or investigation related to modeling.  Such as, the development of advanced recommendation engine for use and sale to external ecommerce websites.
    Facilitate and manage major internal initiatives and external client needs that use advanced mathematical and structured algorithms
    Develop prototypes in client IT environment
Desired Skills and Experience
Advanced Analytics; needs experience actually building and deploying predictive models. Additionally, the candidate needs to have a fundamental statistics knowledge to be able to answer questions about underlying algorithms and processes. Preferred skills:  Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling
    1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%
EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics

Qualifications

1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%

EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics


Additional Information

All your information will be kept confidential according to EEO guidelines.

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