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Temporary Predictive Modeling Jobs (NOW HIRING)

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Predictive Modeling: Develop and implement predictive models to define process performance. c.

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

KēSTA I.T.

Sr. Data Scientist

Lehi, UT

$150K - $185K/yr

Proficiency in predictive modeling using Python and/or R * Experience working with relational ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

MHC Kenworth

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

... and predictive modeling. * Collaborates with the data architect to build and maintain the data ... Opening for business without a Parts or Service department and only three employees in a temporary ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

... and predictive modeling. * Collaborates with the data architect to build and maintain the data ... Opening for business without a Parts or Service department and only three employees in a temporary ...

WSSC Water

Data Architect

Laurel, MD · On-site

$63.25 - $81.25/hr

... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... predictive modeling, asset management, and operational optimization * Ensure that data ...

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Temporary Predictive Modeling information

See salary details

$43.5K

$90.3K

$142K

How much do temporary predictive modeling jobs pay per year?

As of Jun 20, 2026, the average yearly pay for temporary predictive modeling in the United States is $90,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $107,000.00 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.
More about Temporary Predictive Modeling jobs
What cities are hiring for Temporary Predictive Modeling jobs? Cities with the most Temporary Predictive Modeling job openings:
What are the most commonly searched types of Predictive Modeling jobs? The most popular types of Predictive Modeling jobs are:
What states have the most Temporary Predictive Modeling jobs? States with the most job openings for Temporary Predictive Modeling jobs include:
What job categories do people searching Temporary Predictive Modeling jobs look for? The top searched job categories for Temporary Predictive Modeling jobs are:
Temporary Predictive Modeling jobs near you
Infographic showing various Temporary Predictive Modeling job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $90,268 per year, or $43.4 per hour.

Senior Actuary - Pricing and Predictive Analytics

CRC Group

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st Shift (United States of America)
Please review the following job description:
An Actuarial Services Senior Professional (ACAS or exam progressed candidate) will support pricing and predictive modeling initiatives across our specialty programs division. This role requires deep expertise in actuarial modeling, data analytics, and insurance pricing, along with the ability to independently execute advanced statistical analyses and influence business decisions.
The ideal candidate combines strong technical acumen with sound business judgment and excels at translating complex actuarial insights into actionable recommendations. This position partners closely with underwriting, analytics, and actuarial leadership.
KEY RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Pricing & Predictive Analytics
  • Drive the development and ongoing optimization of actuarial pricing models.
  • Build and implement predictive models (e.g., GLMs and other statistical learning techniques) to improve pricing sophistication.
  • Conduct rate adequacy analyses, loss cost reviews, and trend analyses to support pricing decisions.
  • Execute actuarial rate reviews and update parameters within in-house pricing models.
  • Support pricing for large and complex accounts in partnership with underwriting teams.

Portfolio Analytics & Performance Monitoring
  • Lead profitability studies and quarterly portfolio reviews, providing actionable insights and underwriting recommendations.
  • Analyze portfolio performance using diverse data sources to identify trends, cost drivers, and emerging risks.
  • Develop and maintain portfolio management tools and pricing frameworks.

Data, Tools & Innovation
  • Build and automate data pipelines, dashboards, and analytical tools to improve efficiency and accuracy.
  • Leverage large and complex datasets, including incomplete or inconsistent data, to generate insights.
  • Drive innovation in pricing methodologies, data usage, and modeling techniques.
  • Contribute to development and enhancement of actuarial tools and infrastructure.

Cross-Functional Collaboration
  • Partner with underwriting, claims, finance, IT, and operations to align pricing strategies with business objectives.
  • Support program underwriting teams across multiple lines of business.
  • Collaborate with reserving actuaries and finance teams to ensure consistency in assumptions and profitability views.
  • Contribute to product development, including pricing support for new and existing programs.

EDUCATION AND EXPERIENCE
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Qualifications & Experience
  • ACAS or FCAS preferred; candidates with strong exam progress toward ACAS will be considered.
  • Approximately 7+ years of actuarial experience in commercial property & casualty insurance, with strong emphasis on pricing.
  • Strong experience in predictive modeling and pricing analytics.
  • Experience with segmentation, elasticity modeling, and portfolio optimization.
  • Exposure to machine learning and advanced analytics techniques is a plus.
  • Experience building end-to-end pricing or underwriting tools.
  • Experience with program business, MGAs, carriers, or reinsurance is a plus.
  • Strong knowledge of statistical modeling techniques, including GLMs and other machine learning methods.
  • Familiarity with Verisk ISO and S&P Global product suites.
  • Proficiency in Excel and actuarial analysis; experience with SQL, Python, or R is a plus.
  • Ability to clearly summarize analytical results for non-actuarial stakeholders.

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.
CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.
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