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Predictive Modeling Jobs in Baltimore, MD (NOW HIRING)

Senior Data Scientist

Linthicum, MD · On-site

$120 - $180/hr

Predictive modeling * Data quality validation * Pipeline monitoring * Data transformation * Data reporting * Analytics Certifications & Qualifications * TS/SCI with a Polygraph #J-18808-Ljbffr

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

AI Modeling Specialist (Senior)

Fort George G Meade, MD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture. * Hands-on programming experience with Python and SQL. * Demonstrated leadership ...

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Predictive Modeling information

See Baltimore, MD salary details

$10

$58

$82

How much do predictive modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for predictive modeling in Baltimore, MD is $58.34, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $67.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are popular job titles related to Predictive Modeling jobs in Baltimore, MD?

For Predictive Modeling jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in Baltimore, MD look for?

The top searched job categories for Predictive Modeling jobs in Baltimore, MD are:

Infographic showing various Predictive Modeling job openings in Baltimore, MD as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $121,346 per year, or $58.3 per hour.

Actuarial & Business Analytics Analyst

ceiwc

Towson, MD

Full-time

Posted 22 days ago


Job description

Position Summary:

Provides analytical support for actuarial, predictive modeling, and business analytics initiatives that inform underwriting, pricing, reserving, and financial decision-making.

Collaborates with business intelligence, data engineering, actuarial, and external business partners to support predictive model performance, regulatory reporting, actuarial analyses, and enterprise reporting capabilities. Utilizes data, reporting, and analytical tools to evaluate trends, improve business insights, and support organizational objectives related to risk management, operational performance, and profitability.

Duties and Responsibilities:

· Contributes to the achievement of established department goals and objectives; adheres to departmental policies, procedures, quality, and safety standards as applicable, and consistently exhibits Chesapeake’s Values and Behaviors.

· Leads monitoring, analysis, reporting, and communication of underwriting predictive model outcomes, including model recalibrations, feature updates, performance tracking, and evaluation of return on investment.

· Supports the development and implementation of predictive models, including deployment strategies, integration into business workflows, organizational change management, and ongoing performance monitoring.

· Assists in the review and assessment of the quality and completeness of data submitted for reserving, ratemaking, and regulatory reporting activities.

· Supports underwriting portfolio segmentation, large account pricing analyses, sold-to-indicated price monitoring, and other actuarial and underwriting analytical initiatives.

· Performs actuarial analysis and calculations related to policyholder, individual, and safety group dividend programs.

· Supports preparation of statutory reporting, including Schedule P, reserve analyses, annual statements, rate filings, and related actuarial documentation.

· Collaborates with Finance and other business partners to support reinsurance monitoring, reporting, and billing activities.

· Partners with business intelligence analysts, data engineers, and IT professionals to understand data structures, optimize reporting capabilities, and improve data quality.

· Supports reserve reporting, pricing analyses, and regulatory reporting initiatives through research, analysis, and data validation.

· Develops reports, analyses, and executive-level insights to support management decision-making.

· Other duties and project work as assigned.

Knowledge, Skills and Abilities:

· Knowledge of actuarial concepts, predictive modeling techniques, and statistical analysis methodologies.

· Proficiency in SQL and data analysis tools used to query, validate, and analyze large datasets.

· Strong analytical, critical thinking, and problem-solving skills.

· Ability to communicate complex analytical findings clearly and effectively to both technical and non-technical audiences.

· Strong project management and organizational skills with the ability to manage multiple priorities.

· Knowledge of data management principles, reporting methodologies, and business intelligence concepts.

· Ability to summarize and present financial, actuarial, and operational data with actionable conclusions and recommendations.

Minimum Qualifications:

· Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Economics, Finance, or a related analytical field.

· Three (3) or more years of experience in actuarial analysis, business analytics, predictive modeling, data analytics, or related analytical work.

· Experience working with data analysis and reporting tools.

· Effectively utilizes technologies and tools, including Microsoft 365 and role-specific platforms, to support productivity and efficient work practices.

Preferred Qualifications:

· Property and casualty insurance experience.

· Experience supporting predictive modeling, actuarial analysis, business intelligence, or advanced analytics initiatives.

· Experience working with statistical modeling, reporting, or data visualization tools.

· Progress toward actuarial credentialing or related professional certifications preferred.

Physical Demands:

This job description is intended to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties, and skills required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of the job, the teammate is regularly required to sit, use hands to fingers, handle or feel objects, tools or controls; reach with hands and arms. The teammate is occasionally required to stand, walk, stoop, kneel, crouch or crawl. The teammate may occasionally lift up-to 30 pounds. Specific vision abilities are required, which include, close vision, peripheral vision and the ability to adjust focus.

When in office, able to work in an office environment where the noise level is moderate.