ZipRecruiter

Log In

1

Predictive Modeling Jobs in Chicago, IL (NOW HIRING)

Brookfield

P&C Data Analyst

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support data science and predictive modeling initiatives through data preparation, feature development, exploratory analysis, and model performance reporting * Collaborate with data scientists and ...

Wintrust

SVP, Financial Modeling

Rosemont, IL · On-site

$236K/yr

Play thought leadership in the applications of predictive analytics, data science, and other advanced methods such as machine learning and statistical modeling. * Respond to model scrutiny and ...

Wintrust

SVP, Financial Modeling

Rosemont, IL · Hybrid

$236K/yr

Play thought leadership in the applications of predictive analytics, data science, and other advanced methods such as machine learning and statistical modeling. * Respond to model scrutiny and ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

Keybank

Quant Analytics Mgr.

Chicago, IL · On-site

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

DW Simpson

Consulting Actuary - Remote

Chicago, IL · Remote

$135/hr

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 ...

Ferrara

Sr. Manager, Demand Planning Analytics

Chicago, IL · On-site

$114K - $160K/yr

  • Medical

  • PTO

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 ...

next page

Showing results 1-20

All JobsPredictive Modeling JobsPredictive Modeling Jobs in Chicago, IL

Predictive Modeling information

See Chicago, IL salary details

$10

$60

$85

How much do predictive modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for predictive modeling in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

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 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 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:

Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Chicago, IL as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $125,804 per year, or $60.5 per hour.

Senior/Staff Data Scientist, Consumer Apps - Klover

Attain

Chicago, IL • On-site

Full-time

Re-posted 13 days ago

Job description

About Attain
Built for consumers and companies, alike.
Klover's engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.
As part of this team, you'll help design, build, and scale the systems that underpin Klover's core products and platform. You'll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover's products, access their money, and experience transparent, low-fee financial services.
Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You'll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products-building systems and interfaces that emphasize reliability, privacy, and performance at scale.
About the role
Attain is seeking a Senior/Staff Data Scientist to support the growing needs of our suite of B2C financial services. This role will be highly hands-on, focused on building, improving, validating, and deploying predictive models that power consumer decisioning and business optimization across our app portfolio.
You will work on advanced machine learning and statistical modeling problems, including cash-flow based credit decisioning for our earned wage advance product, Klover, as well as consumer behavior modeling, transaction categorization, paycheck detection, fraud scoring, churn prediction, and other high-impact predictive modeling use cases. The ideal candidate combines strong quantitative fundamentals with practical experience building models and analytical systems from scratch.
Attain Office Hybrid Schedule:
  • Chicago, IL: 4 days in-office; 1 day remote

What a typical week might look like
  • Hands-on development of ML and statistical models at the core of our EWA product, with a focus on fast, rigorous, and high-quality execution
  • Build and improve predictive models across consumer decisioning, consumer behavior modeling, fraud, churn, transaction intelligence, and other business-critical use cases
  • Own the full model development lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and retraining
  • Develop reusable modeling pipelines, analytical tools, and production-quality code to support scalable data science work
  • Apply strong statistical and mathematical judgment to model evaluation, calibration, robustness testing, and business impact measurement
  • Collaborate with data analysts, engineers, product managers, and business stakeholders to deliver ML models with quality, efficiency, and precision
  • Identify new areas where data science, predictive modeling, and optimization can improve product and business outcomes

Preferred Qualifications
  • 5+ years of direct experience working as a Data Scientist, Machine Learning Scientist, Model Developer, Applied Scientist, Economist, or similar role on relevant business problems
  • Strongly preferred: Master's, or Ph.D. in a STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research, or a related quantitative field
  • Demonstrated ability to apply critical thinking, causal inference, abstract reasoning, and generalization to complex, ambiguous business and technical problems
  • Strong expertise developing, validating, deploying, and monitoring machine learning models in production
  • Experience with AI/ML-assisted development tools and MLOps practices, including experience working with large language models (LLMs) or autonomous agents for code generation and model refinement
  • Experience with predictive modeling, consumer behavior modeling, risk modeling, credit decisioning, fraud modeling, churn modeling, or other high-impact applied ML use cases
  • Solid foundation in statistics, probability, mathematics, and machine learning fundamentals
  • Strong Python coding skills, with the ability to build models, pipelines, and analytical tools from scratch
  • Strong SQL skills and experience working with large, messy, real-world datasets
  • Experience with feature engineering, model evaluation, calibration, monitoring, retraining, and model performance diagnostics
  • Experience with cloud computing services or platforms; GCP preferred
  • Familiarity with version control, peer code review, and collaborative software development practices
  • Demonstrated ability to learn new technologies, applications, and modeling approaches quickly
  • Willingness to roll up your sleeves and wear multiple hats across data science, analytics, modeling, and technical execution based on business needs
  • Strong written and verbal communication skills, including the ability to explain technical topics to both technical and non-technical audiences

We're excited to hear from you.
At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.

Apply