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Predictive Modeler Jobs in Colorado (NOW HIRING)

Aegon

Int Actuary Modeler

Denver, CO · On-site

$88 - $95/hr

Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources. * Interpret internal or ...

Cymertek

Data Scientist

Aurora, CO · On-site

Develop predictive models * Communicate data findings clearly * Design and implement algorithms * Ensure data quality and integrity * Collaborate with cross-functional teams REQUIRED SKILLS

Pinnacol Assurance

Actuary

Denver, CO · On-site

$119K - $141K/yr

Predictive Analytics & Modeling: Build, validate, and refine predictive models (such as GLMs) to improve risk segmentation, pricing accuracy, and operational workflows. * Profit Sharing & Dividend ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

DEEP DIVE INTO THIS ROLE As a Data Scientist, you'll analyze large datasets, develop predictive models, and work with engineering teams to integrate your solutions into production.Key ...

InnovAge

VP, Enterprise Analytics

Denver, CO · On-site

$200K - $340K/yr

Develop predictive models that identify workforce, operational, and business risks before they occur. * Build forecasting capabilities to support hiring plans, workforce needs, participant growth ...

InnovAge

VP, Enterprise Analytics

Denver, CO · On-site +1

Develop predictive models that identify workforce, operational, and business risks before they occur. * Build forecasting capabilities to support hiring plans, workforce needs, participant growth ...

InnovAge

VP, Enterprise Analytics

Denver, CO · On-site +1

$200K - $270K/yr

Develop predictive models that identify workforce, operational, and business risks before they occur. * Build forecasting capabilities to support hiring plans, workforce needs, participant growth ...

Jefferson Center

Senior Analytics Engineer

Wheat Ridge, CO · On-site +1

$94K - $116K/hr

Curate feature tables and datasets for predictive modeling, time-series forecasting, risk scoring, and population health analysis. * Prepare and optimize data pipelines and semantic layers for AI ...

Evio

Applied Real World Data Scientist

Denver, CO · On-site +1

Apply machine learning and advanced analytics techniques (such as predictive modeling, natural language processing, graph neural networks, and unsupervised clustering) to develop and advance product ...

Evio

Applied Real World Data Scientist

Denver, CO

Apply machine learning and advanced analytics techniques (such as predictive modeling, natural language processing, graph neural networks, and unsupervised clustering) to develop and advance product ...

Vantage Data Centers

Data Scientist, NA

Denver, CO

This role designs and deploys predictive and prescriptive models that support capacity forecasting, energy optimization, anomaly detection, asset lifecycle management, and customer experience ...

Vantage Data Centers LLC

Data Scientist, NA

Denver, CO · On-site

$140 - $150/hr

This role designs and deploys predictive and prescriptive models that support capacity forecasting, energy optimization, anomaly detection, asset lifecycle management, and customer experience ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

This role designs and deploys predictive and prescriptive models that support capacity forecasting, energy optimization, anomaly detection, asset lifecycle management, and customer experience ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Responsibilities : • Analyze large datasets • Build predictive models • Design data-driven solutions • Present insights to stakeholders • Clean and preprocess raw data • Collaborate with ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Responsibilities : • Analyze and interpret complex data • Develop predictive models • Communicate data findings clearly • Design and implement algorithms • Ensure data quality and integrity ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

Collaborating with cross-functional teams, you will analyze large datasets, develop predictive models, and communicate findings to drive business success. If you are passionate about using data to ...

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All JobsPredictive Modeler JobsPredictive Modeler Jobs in Colorado

Predictive Modeler information

See Colorado salary details

$10

$61

$87

How much do predictive modeler jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for predictive modeler in Colorado is $61.74, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $71.78 per hour, depending on experience, location, and employer.

What is a predictive modeler?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

How does a predictive modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are the key skills and qualifications needed to thrive as a predictive modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

What cities in Colorado are hiring for Predictive Modeler jobs?

Cities in Colorado with the most Predictive Modeler job openings:

What are popular job titles related to Predictive Modeler jobs in CO?

For Predictive Modeler jobs in CO, the most frequently searched job titles are:

Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in Colorado as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $128,414 per year, or $61.7 per hour.

Int Actuary Modeler

Aegon

Denver, CO • On-site

$88 - $95/hr

Other

Posted 7 days ago

Job description

Build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Responsibilities
  • Support modeling activities on various insurance liabilities, fixed‑income assets and derivatives in actuarial systems, including AXIS/ALFA/MoSes.
  • Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
  • Collaborate with key stakeholders from business line valuation, ALM, risk management, and financial/risk reporting etc.
  • Embrace new technologies to improve workflows.
  • Build external or embedded controls to mitigate operating risks in workflows.
  • Apply risk management techniques and procedures, including the company's mandated risk methodologies.
  • Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.
  • Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
  • Interpret internal or external issues and recommend solutions/best practices.
  • Solve complex problems; take a broad perspective to identify solutions.
  • Build efficient models and processes with minimal guidance.
  • Apply judgment to modeling choices in a defensible manner.
  • Assess the materiality of various modeling and data choices.
Qualifications
  • Bachelor’s degree in a technical/quantitative discipline such as statistics, math, actuarial science, computer science, economics, engineering, or a related business field such as finance.
  • Three years of modeling experience (or one with Master's degree) and knowledge of at least one product such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, or artificial intelligence.
  • Good understanding of investment and finance concepts, and the ability to creatively apply them in solving analytical problems.
Preferred Qualifications
  • Advanced degree.
  • Insurance or asset/derivatives modeling experience.
  • Actuarial Science background.
  • Experience with database design and usage.
  • Programming experience in C++/C#/Python or other advanced language.
  • MoSes/AXIS/ALFA or other actuarial software.
  • QRM or similar asset liability software experience.
  • SAS, R, SPSS or other statistical software experience.
Working Conditions
  • This is a hybrid position requiring three days (Tuesday-Thursday) in office per week in one of our hub locations (Cedar Rapids, Baltimore, Philadelphia, or Denver).
  • Relocation assistance will not be provided for this position.
Compensation

The salary for this position generally ranges between $88,000 - $95,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus of 10% based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.

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