3

Full Time Remote Data Modeler Jobs (NOW HIRING)

Develop and implement predictive models and machine learning algorithms. * Collaborate with cross ... Continuously monitor and improve existing data processes and systems. Requirements * Proven ...

Analytic Server Modeler

$56 - $72.75/hr

Join our Global Professional Services team as a Data Modeler, where you will be instrumental in ... Remote What will I be doing? As a part of the Professional Services New Frontiers team, the ...

$50.75 - $65.75/hr

We're looking for a hands-on Data Modeling Expert to join our Fraud Analytics Consulting team as a ... Explore all our exciting benefits here: #LI-Remote This is a remote position.

The new face of mental health Our model is research-based, and we are invested in staying on the ... Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ...

The new face of mental health Our model is research-based, and we are invested in staying on the ... Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ...

Remote Data Entry Clerk

Fairfield, MT · Remote

$17 - $22.75/hr

Job Overview 3 Rivers Communications is seeking a detail-oriented and dependable Remote Data Entry ... Schedule * Full-time * Monday-Friday * 40 hours per week * Occasional overtime may be required ...

New

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Contribute to predictive modeling and machine learning efforts under the guidance of senior team ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

We are seeking an experienced Sr. Data Warehouse / Business Analyst on a full-time, permanent basis ... Data modeler/analyst must have good experience in rational database systems and architecture.

next page

Showing results 1-20

Full Time Remote Data Modeler information

See salary details

$10

$58

$83

How much do full time remote data modeler jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for full time remote data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

How do Full Time Remote Data Modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are Full Time Remote Data Modelers?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Modeler, and why are they important?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.
More about Full Time Remote Data Modeler jobs
What cities are hiring for Full Time Remote Data Modeler jobs? Cities with the most Full Time Remote Data Modeler job openings:
What are the most commonly searched types of Remote Data Modeler jobs? The most popular types of Remote Data Modeler jobs are:
What states have the most Full Time Remote Data Modeler jobs? States with the most job openings for Full Time Remote Data Modeler jobs include:
Infographic showing various Full Time Remote Data Modeler job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.
Predictive Modeler / Pricing Modeler - Commercial Actuarial - Remote

Predictive Modeler / Pricing Modeler - Commercial Actuarial - Remote

Nationwide

Columbus, OH • Remote

$53 - $68.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

Nationwide's Commercial Lines team is hiring a Predictive Modeler / Pricing Modeler to help shape sophisticated insurance pricing models and deliver insights that influence business decisions. This role is ideal for someone who brings strong technical modeling skills and either a solid actuarial foundation, commercial insurance knowledge, or both.

In this position, you will work at the intersection of predictive analytics, actuarial thinking, and pricing strategy. You will partner closely with teammates and business partners to build, enhance, and refine models that support commercial insurance pricing. You will also have the opportunity to work across a variety of projects, expand your technical toolkit, and deepen your understanding of how modeling drives real business outcomes.

What makes this opportunity stand out:

  • A unique blend of predictive modeling, pricing, and commercial actuarial work

  • Highly visible projects that support important pricing decisions

  • The chance to work with R, Python, SQL, and modern modeling techniques in a business-critical environment

  • Exposure to insurance data, actuarial mechanics, and the nuances of commercial lines pricing

  • A collaborative team structure where modeling, actuarial, and business expertise come together

  • Broad skill development across predictive analytics, actuarial concepts, and cross-functional partnership

  • The opportunity to contribute quickly if you already understand insurance, actuarial modeling, or pricing workflows

We are especially interested in candidates who can combine technical modeling ability with practical business application. Strong candidates may come from actuarial, predictive modeling, pricing analytics, or data science backgrounds, but they should be excited by insurance use cases and motivated to work in a role where actuarial and modeling foundations both matter.

The strongest profiles will typically offer a mix of the following:

  • Predictive modeling or pricing model experience

  • Commercial insurance, property and casualty, or broader insurance analytics experience

  • Knowledge of actuarial concepts, pricing mechanics, or loss cost / relativity-based thinking

  • Hands-on coding experience in R, Python, SQL, or similar analytical tools

  • The ability to translate data into actionable pricing or underwriting insight

  • Strong problem-solving skills and the ability to work through technical detail in a collaborative setting

This is not a pure data science role removed from the business, and it is not a traditional actuarial role in the narrow sense. It is a hybrid opportunity for someone who wants to apply predictive modeling in a commercial actuarial and insurance pricing environment, learn from strong partners, and grow into an even more versatile analytics professional.

If you want to build models that matter, strengthen your pricing and actuarial expertise, and work on meaningful commercial insurance challenges, this role offers the chance to do exactly that. This role can be staffed remote.

#LI-REMOTE

#LI-SM1

Job Description Summary

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
As a Consultant, you'll work on projects associated with the design, development, and application of unique risk models. You'll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We'll count on you to be a subject matter authority in Nationwide's risks. It's imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities:

  • Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.

  • Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.

  • Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.

  • Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.

  • Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.

  • Crafts and updates model documentation for business continuity purposes.

  • Collaborates to develop creative solutions to business problems.

  • Acts as the technology owner for Risk Analytics.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and Human Resources Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

We currently anticipate accepting applications until 07/14/2026. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage,paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

This position could be filled within any of the lower 48 U.S. states.Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.
For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf

NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.The national salary range for Consultant, Risk Analytics Researcher : $118,000.00-$222,000.00The expected starting salary range for Consultant, Risk Analytics Researcher : $118,000.00 - $178,000.00