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Sas Predictive Modeling Jobs (NOW HIRING)

Regional Finance

Director Credit Risk

Plano, TX · On-site

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on ... Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft ...

Regional Finance

Director Credit Risk

Plano, TX

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on ... Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft ...

Regional Finance Corp

Director Credit Risk

Plano, TX

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on ... Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft ...

Slide Insurance

Insurance Pricing Actuary

Tampa, FL · On-site

Experience with predictive modeling, pricing, and regulatory filings * Proficiency in actuarial and data tools (SQL, R, Python, SAS, Radar, Emblem, Excel) * Familiarity with catastrophe models and ...

D.W. Simpson

Actuarial Consultant - REMOTE

San Mateo, CA · On-site +1

$145/hr

... predictive modeling and consulting, excellent communication skills, and the ability to embrace AI ... Must be familiar with statistical modeling tools such as Emblem, DataRobot, Akur8, Earnix, or SAS.

RELX

Data Scientist

Minneapolis, MN

$77.30K - $128.70K/yr

Experience in predictive modeling. * Proficiency in SAS, R, Python, and Big Data technologies. * Strong communication skills and ability to work cross-functionally. * Fraud analytics experience is a ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site +1

What You Will Bring Minimum 8 years predictive modeling experience with focus on credit risk ... Proficiency in statistical programming utilizing SAS, Python, R or other related software and ...

Lendistry

Data Scientist I

Dallas, TX · On-site

... predictive modeling, preferably in the financial services industry. • Proficiency in Python, SQL, and one or more additional scripting or programming languages (Java, SAS, etc.). • Solid ...

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How much do sas predictive modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for sas predictive modeling in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a SAS Predictive Modeling Specialist, and why are they important?

To thrive as a SAS Predictive Modeling Specialist, you need a solid background in statistics, data analysis, and predictive modeling, typically supported by a degree in mathematics, statistics, or a related field. Proficiency in SAS software (such as SAS Enterprise Miner), familiarity with databases, and relevant certifications like SAS Certified Predictive Modeler are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills ensure accurate model development and interpretation, driving data-driven decision-making and business success.

What are some common challenges faced when implementing SAS predictive modeling solutions in a business setting?

One common challenge in SAS predictive modeling roles is ensuring data quality and consistency across large, complex datasets, which can significantly impact model accuracy. Another frequent obstacle is effectively communicating technical findings to non-technical stakeholders, making it crucial to translate predictive insights into actionable business recommendations. Additionally, integrating SAS models into existing business processes or IT systems can require close collaboration with IT teams and may involve troubleshooting compatibility or deployment issues. Successful candidates are often those who can balance technical expertise with strong problem-solving and communication skills.

What is SAS predictive modeling?

SAS predictive modeling refers to the use of SAS (Statistical Analysis System) software to create statistical models that forecast future outcomes based on historical data. These models help organizations identify patterns, trends, and relationships within data to make informed decisions. SAS offers a suite of powerful analytical tools and procedures for tasks such as regression, classification, forecasting, and machine learning. Predictive modeling with SAS is widely used in industries like finance, healthcare, marketing, and insurance for risk assessment, customer segmentation, and more.

What is the difference between Sas Predictive Modeling vs Data Scientist?

AspectSas Predictive ModelingData Scientist
Required CredentialsTypically requires SAS certifications, statistical or data analysis degreesOften requires degrees in computer science, statistics, or related fields; certifications like SAS or Python are common
Work EnvironmentPrimarily in analytics or data-focused teams within industries like finance, healthcare, or marketingIn diverse settings including tech, finance, healthcare, with broader responsibilities
Employer & Industry UsageUsed by companies leveraging SAS software for predictive analyticsUsed across industries for data analysis, machine learning, and data-driven decision making

While Sas Predictive Modeling focuses on building predictive models using SAS software, Data Scientists have a broader role involving data analysis, machine learning, and programming in various languages. Both roles require strong statistical skills, but Data Scientists often work with multiple tools and handle more diverse data tasks.

More about Sas Predictive Modeling jobs
What states have the most Sas Predictive Modeling jobs? States with the most job openings for Sas Predictive Modeling jobs include:
What job categories do people searching Sas Predictive Modeling jobs look for? The top searched job categories for Sas Predictive Modeling jobs are:
Sas Predictive Modeling jobs near you
Infographic showing various Sas Predictive Modeling job openings in the United States as of May 2026, with employment types broken down into 44% Full Time, 25% Part Time, 29% Contract, and 2% Nights. Highlights an 59% Physical, 33% Hybrid, and 8% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Pricing Actuary

Berkshire Hathaway Homestate Companies

Omaha, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

WHAT WE'RE LOOKING FOR
Berkshire Hathaway Homestate Companies has an immediate for a Pricing Actuary to join its Actuarial team! This individual is responsible for integrating industry and company performance data to develop and implement pricing strategies across various regions, markets, and products within our Workers Compensation business. Additionally, this position will provide essential technical support to guide the effective use of the company's pricing models and analytical tools. 

Works closely and communicates effectively with internal and external clients, data analytics team, actuaries, underwriting, marketing, and other departmental teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Ability to present findings back to the business by exposing assumptions and validations in a way that can be easily understood by business counterparts is essential.  

ESSENTIAL RESPONSIBILITIES AND PRINCIPAL ACCOUNTABILITIES
  • Review rate adequacy and provide recommendations when deviations and revisions from standard assumptions are appropriate.
  • Enhance and refine existing pricing models and develop new pricing models to support the Company's strategic objectives.
  • Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
  • Develop and maintain analytical standards and procedures, including peer reviews, to ensure consistency across department of analysis, execution, knowledge sharing and documentation.
  • Actively engage with and participate in industry professional organizations and rating committees, representing the Company's strategic interests while presenting as an expert thought leader within the professional community.
LEADERSHIP RESPONSIBILITIES
As a member of the Senior Leadership Team (SLT), works collaboratively with members of the SLT to actively champion enterprise initiatives, ensuring the organization's vision, mission, goals and objectives are operationalized. Models and reinforces organizational values and behaviors in all leadership actions. Relies primarily on substantial experience, discerning judgment, and leadership skills to perform the functions of the job and achieve results in established timelines. Takes an anticipatory approach to solving problems. Ensures that employees understand their level of accountability and takes appropriate action to ensure employees fully understand roles, responsibilities and performance standards and provides ongoing feedback and support. Executes all responsibilities with professionalism and in accordance with the organization's internal policies, as well as regulatory, financial, and ethical standards.   
 
QUALIFICATIONS
EDUCATION: Bachelor's degree in Statistics, Mathematics, Risk Management, or other related quantitative field, required.
 
CERTIFICATIONS/LICENSES: Fellow or Associate of the Casualty Actual Society  strongly preferred. Predictive Modeling accreditation desirable. 
 
EXPERIENCE:
  • Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. 
  • Experience with statistical computer languages and fluency with "big data" tools (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is preferred. 
 
REQUIRED TECHNICAL SKILLS: 
  • In-depth knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis. 
  • Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.). 
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms. 
DESIRED COMPETENCIES
  • PROBLEM-SOLVING: Logical thought process and problem-solving ability; able to effectively gather and analyze information skillfully and provide solutions in complex situations. Seeks root causes. Anticipates long-term problem areas and associated risk levels with objective rationale. Identifies items requiring additional information or action and addresses and communicates appropriately.
  • STATISTICAL ANALYSIS: Studies industrial, business, and technological trends and forecasts. Differentiates data sources for validity, reliability, and credibility. Assesses the validity of business strategy recommendations against trend and historical data. 
  • INTERPERSONAL: Solid team-builder, be result oriented, a creative and strategic thinker with innovative problem-solving skills. Approachable and trustworthy with innate ability to form strong and meaningful bonds with executives and stakeholders. Active participant on SLT.
  • INNOVATION AND INITIATIVE: Exhibits a drive to learn and master new technologies and techniques. Employs sound judgment in determining how innovations will be deployed to produce higher return on investments. Analyzes previously used concepts, processes or trends to devise new efficiencies or approaches not obvious to others. Thinks expansively by combining ideas in unique ways or making connections between disparate ideas.
  • BUSINESS FOCUS: Leads discussions with senior leaders and internal partners to support strategic planning and decision making. Solicits authoritative perspectives and advice prior to approving recommendations.
  • DATA VISUALIZATION AND COMMUNICATION: Debates opinions, test understanding and clarifies judgments. Ability to explain and illustrate the context of multiple, complex inter-related situations to a wide and diversified audience.
WHAT WE OFFER
  • Bonus Eligibility
  • Hybrid Work Schedule (up to 2 days work from home)
  • Paid Time Off
  • Paid Holidays
  • Immediate Vesting of Retirement Savings + Company Match
  • Group Health Insurance (Medical, Dental, and Vision)
  • Life and AD&D Insurance
  • Long Term Disability Insurance
  • Hospital Indemnity Insurance
  • Accident and Critical Illness Insurance
  • Flexible Savings Accounts
  • Paid Community Volunteer Day
  • Employee Assistance Program
  • Tuition Reimbursement Program
  • Employee Referral Program
  • Diversity, Equity and Inclusion Program
 
WHO WE ARE
 
With more than 50 years in business, Berkshire Hathaway Homestate Companies (BHHC) has grown from a regional organization to a national insurance group, offering insurance products from coast to coast. Relationships are the cornerstone of our culture, and we believe in doing the right thing. That means we invest in our business in every way possible to deliver on our mission and demonstrate that people are what powers our success. Our commitment to financial strength and integrity means our customers can rest assured that we will be there when it counts.
 
At BHHC we embrace diversity and foster an environment where our people can be their authentic selves. Our differences make us stronger and better together, which fosters a harmonious workplace-something we truly value. We've created an approachable and collaborative atmosphere. Here you'll find a welcoming workplace where everyone can feel valued, supported, and inspired to do great work. Together, we raise the bar by being curious, remaining customer-focused, and operating with integrity.
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