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Temporary Predictive Modeling Jobs in Chicago, IL

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

Work with other teams such as Advanced Analytics to design and build predictive models in tools ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Lochmueller Group

Traffic Engineer

Merrillville, IN · On-site

$85K - $116K/yr

... modeling and forecasting, corridor planning, traffic signal operations, signal and ITS design ... Experience with the predictive methods of the Highway Safety Manual * Experience with traffic ...

Lochmueller Group

Traffic Engineer

Merrillville, IN · On-site

$85K - $116K/yr

... modeling and forecasting, corridor planning, traffic signal operations, signal and ITS design ... Experience with the predictive methods of the Highway Safety Manual * Experience with traffic ...

All JobsPredictive Modeling JobsTemporary Predictive Modeling JobsTemporary Predictive Modeling Jobs in Chicago, IL

Temporary Predictive Modeling information

See Chicago, IL salary details

$44.8K

$93K

$146.3K

How much do temporary predictive modeling jobs pay per year?

As of Jun 17, 2026, the average yearly pay for temporary predictive modeling in Chicago, IL is $92,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $110,200.00 per year, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030 due to advancements in AI and automation. Roles that rely heavily on manual data processing or routine analysis may diminish as machine learning tools become more capable, but specialized predictive modeling positions that require complex analysis and domain expertise will continue to be in demand. Continuous learning in programming, statistics, and AI tools will be essential for future professionals in this field.

Is 40 too late for data science?

Age is not a barrier to entering a predictive modeling or data science role. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and problem-solving ability, making it possible to start a data science career at age 40 or older.

How do you do predictive modeling?

Predictive modeling involves analyzing historical data using statistical techniques and machine learning algorithms to develop models that forecast future outcomes. It requires data cleaning, feature selection, model training, and validation, often using tools like Python or R. Strong analytical skills and understanding of algorithms are essential for effective predictive modeling.

What is the difference between Temporary Predictive Modeling vs Data Analyst?

AspectTemporary Predictive ModelingData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; experience with modeling toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentProject-based, focused on building predictive models for specific business needsOngoing data interpretation, reporting, and visualization tasks
Employer & Industry UsageUsed in industries like finance, marketing, and tech for predictive insightsCommon across industries for data reporting and analysis
Search & Comparison IntentSeeking temporary roles focused on predictive modeling tasksLooking for data analysis roles involving data interpretation

Temporary Predictive Modeling roles focus on developing specific predictive models for short-term projects, requiring specialized skills in modeling techniques. Data Analysts perform ongoing data interpretation and reporting, often with broader data handling responsibilities. While both roles require analytical skills, their focus and scope differ significantly.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex depending on the project's scope and data quality. It requires skills in statistics, programming, and data analysis tools like Python or R, and often involves continuous learning to stay updated with new techniques. The difficulty varies based on experience and the complexity of the problems being addressed.
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 Temporary Predictive Modeling jobs in Chicago, IL? For Temporary Predictive Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Predictive Modeling jobs in Chicago, IL look for? The top searched job categories for Temporary Predictive Modeling jobs in Chicago, IL are:
Temporary Predictive Modeling jobs near you
Director Artificial Intelligence & Data Science

Director Artificial Intelligence & Data Science

Alliant Credit Union

Chicago, IL • On-site, Remote

$167K - $287K/yr

Full-time, Part-time

Posted 5 days ago

Job description

Responsible enterprise leader for defining and executing the organization’s AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.

Essential Responsibilities

  • Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
  • Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
  • Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
  • Own the “Industrial” Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
  • Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
  • Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
  • Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
  • Ensure compliance with Alliant’s governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
  • Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
  • Drive adoption and value realization of AI and analytics solutions across the organization.
  • Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
  • Evaluate and manage AI technologies, tools, and vendor partnerships.
  • Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
  • Minimum - 5 Years of People Management

In Lieu of Education

  • 15 Years of AI, data science, analytics, technology leadership role including people management

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $167,700.00 to $287,500.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

‎Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.