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Model Predictive Control Jobs in Illinois (NOW HIRING)

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Our vertically integrated model gives us total control over every part of the energy lifecycle ... Predictive Modeling: Partner with Data Science/IT teams to implement AI tools that analyze ...

System Integration Architect

Chicago, IL · On-site

$73 - $94/hr

They combine software (e.g., MES, ERP, SCADA), AI (e.g., predictive models, LLMs), and automation (e.g., machine and plant control) to optimize operations and deliver real value, such as higher yield ...

They combine software (e.g., MES, ERP, SCADA), AI (e.g., predictive models, LLMs), and automation (e.g., machine and plant control) to optimize operations and deliver real value, such as higher yield ...

Mechanical Engineer

Hillside, IL · On-site

$100K - $140K/yr

Control and testing for hydraulic and pneumatic systems * Motion control projects * Pneumatic ... Preventative and/or Predictive maintenance documents * Advise on the status of equipment to ...

ServiceNow Developer

Chicago, IL · Remote

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

ServiceNow Developer

Chicago, IL · On-site

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Experience applying AI/ML tools such as OCR, NLP, or predictive modeling to automation use cases ... Proficiency with version control tools (e.g., Git). * Experience developing APIs or integrating ...

... review, predictive coding model training and validation, quality control protocols, and defensible methodology documentation in support of complex litigation and regulatory matters. Production ...

... review, predictive coding model training and validation, quality control protocols, and defensible methodology documentation in support of complex litigation and regulatory matters. Production ...

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

Experience applying AI/ML tools such as OCR, NLP, or predictive modeling to automation use cases ... Proficiency with version control tools (e.g., Git). * Experience developing APIs or integrating ...

Lead IT Project Manager

Chicago, IL · Hybrid

$140K - $170K/yr

... models, pipelines). * Coordinate adjacent workstreams (program lens): manage cross-project ... Control project fundamentals: schedule, scope, budget/forecast (CapEx/OpEx), vendor/SOW management ...

With over $15.9 billion in revenue (2024), ITW operates with a decentralized business model focused ... Improve preventive and predictive maintenance systems * Drive initiatives that reduce downtime and ...

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Model Predictive Control information

What is Model Predictive Control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with Model Predictive Control (MPC) systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a Model Predictive Control (MPC) Engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in Illinois? For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Model Predictive Control jobs? Cities in Illinois with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Illinois as of June 2026, with employment types broken down into 2% As Needed, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Sr Analytics Consultant - Pharmacy

Sr Analytics Consultant - Pharmacy

Health Care Service Corporation

Chicago, IL • Hybrid

$84K - $152K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThe Senior Analytics Consultant will play a key role in supporting the Pharmacy Benefit Management (PBM) analytics team by leveraging advanced technical skills and healthcare industry expertise to deliver actionable insights. This role will partner with clinical and business stakeholders to design, develop, and implement analytical solutions that drive strategic decision-making and operational efficiency. The consultant will be responsible for providing Rx-focused analytical support, predictive modeling, and advisory services to internal customers, including senior leadership. In addition, this position will contribute to the development of innovative approaches for optimizing pharmacy programs, improving patient outcomes, and managing healthcare costs through data-driven strategies.

Required Job Qualifications:

  • Bachelor's degree and 6 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR Master's degree with 4 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR PhD with 2 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR 10 years of experience in health care services, statistical analysis, or insurance industry economics or related field

  • Understanding, and being highly proficient at querying a wide variety of internal and external data sources to get meaningful insights.

  • Strong analytical skills and proficiency in computer languages, such as SQL, Python, R, etc.

  • Ability to create a dynamic and visually engaging dashboard leveraging data visualization tools such as Tableau or Power BI

  • High degree of business intelligence and understanding how to take a business case from inception to customer or partner execution.

  • Experience leading an analytic initiative to success.

  • Excellent communication and presentation skills.

  • Ability to work independently and as part of a team.

  • Performance excellence in championing initiatives and collaborating with multiple stakeholders to bring the initiative to life.

  • Ability to work under pressure and delivery high quality output to senior leadership to decision making within short timeline.

Preferred Job Qualifications:

  • Experience with project management methodologies.
  • Experience applying predictive analytics and statistical modeling techniques to solve business problems.
  • Hands-on experience with Python for data analysis and automation.
  • Familiarity with cloud-based data lakes and big data environments.
  • Experience using Dataiku for data science workflows.
  • Knowledge of version control/collaborative tools, such as GitHub.
  • Experience with automation tolls, such as Alteryx,
  • Understanding of Healthcare industry domains (payor, provider, pharmacy, public health, epidemiology etc.).


This is a Flex (Hybrid)role: 3 days in office; 2 days work from home

Sponsorship is not available.

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Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$84,400.00 - $152,300.00

Exact compensation may vary based on skills, experience, and location.