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Predictive Modeling Jobs in Chicago, IL (NOW HIRING)

Support and maintain existing analytical and predictive modeling solutions while identifying opportunities for optimization and expansion. Transform Data into Actionable Insights * Gather, integrate ...

... 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 ...

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 ...

Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756 ...

Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756 ...

Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756 ...

Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756 ...

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

This position will be responsible for developing and leading advanced statistical and predictive modeling capabilities to enhance forecast accuracy and support data-driven decision-making across the ...

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Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for predictive modeling in Chicago, IL is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $54.28 and $70.38 per hour, depending on experience, location, and employer.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What are the most commonly searched types of Predictive Modeling jobs in Chicago, IL?

The most popular types of Predictive Modeling jobs in Chicago, IL are:

What are popular job titles related to Predictive Modeling jobs in Chicago, IL?

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

What job categories do people searching Predictive Modeling jobs in Chicago, IL look for?

The top searched job categories for Predictive Modeling jobs in Chicago, IL are:

Infographic showing various Predictive Modeling job openings in Chicago, IL as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,903 per year, or $60.5 per hour.

Predictive Analytics Consultant

Dunn Solutions Group

Chicago, IL • On-site

Full-time

Re-posted 10 days ago


Key responsibilities

  • Build and maintain predictive models by extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics, and SAS.

  • Demonstrate the value of predictive analytics solutions and develop prototypes in client IT environments.

  • Develop new or revised statistical systems and solve problems related to modeling, including developing advanced recommendation engines for external e-commerce websites.


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.