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Predictive Modeling Jobs in Illinois (NOW HIRING)

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Serve as the model owner for personal insurance predictive models within actuarial, ensuring alignment with ratemaking and business priorities. Partner on strategic vision while managing team ...

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 ...

Are you a P&C professional with a real passion for predictive modeling and analytics? Are you a consultant or actuary who leads analytical projects that require you to understand and analyse client ...

Are you a P&C professional with a real passion for predictive modeling and analytics? Are you a consultant or actuary who leads analytical projects that require you to understand and analyse client ...

Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage ...

... modeling and predictive analytics to solve complex business problems - Overseeing the development of scalable data solutions to support client operations What You Must Have - At least a Bachelor ...

Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques. * Apply data mining and advanced analytical methods to identify ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Showing results 21-40

Predictive Modeling information

See Illinois salary details

$10

$56

$80

How much do predictive modeling jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for predictive modeling 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 the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, 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 a Predictive Modeling job?

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 is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

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 jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Illinois? The most popular types of Predictive Modeling jobs in Illinois are:
What job categories do people searching Predictive Modeling jobs in Illinois look for? The top searched job categories for Predictive Modeling jobs in Illinois are:
What cities in Illinois are hiring for Predictive Modeling jobs? Cities in Illinois with the most Predictive Modeling job openings:
Infographic showing various Predictive Modeling job openings in Illinois as of July 2026, with employment types broken down into 69% Full Time, 12% Part Time, and 19% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $118,340 per year, or $56.9 per hour.
Front Office Strategy Consulting - PLS Customer Analytics - Manager

Front Office Strategy Consulting - PLS Customer Analytics - Manager

PwC

Chicago, IL

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Manager

Job Description & Summary

The Opportunity
As a Manager in Front Office Strategy Consulting within our Customer Analytics practice, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will partner with team leadership to validate collective ownership of quality, timelines, and deliverables. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients
- Utilizing advanced analytics techniques to optimize client operations and achieve strategic goals
- Managing and mentoring teams to leverage their strengths and deliver quality outcomes
- Developing and implementing data manipulation, visualization, and statistical modeling strategies
- Building and maintaining data pipelines and confirming data integrity and security
- Creating and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting complex data analysis and predictive modeling to support client needs
- Collaborating with client leadership to identify opportunities for data-driven improvements
- Encouraging innovation and embracing technology to enhance project delivery
- Addressing conflicts and engaging in critical conversations with stakeholders to maintain project alignment
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data visualization tools like Tableau
- Utilizing advanced data analytics techniques for customer insights
- Excelling in complex data analysis and predictive modeling
- Leading teams in strategic planning and execution
- Embracing technology and innovation in client solutions

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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