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Predictive Analytics Jobs in Baltimore, MD (NOW HIRING)

Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data. * Perform data mining and exploratory data analysis (EDA) using ...

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

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Predictive Analytics information

See Baltimore, MD salary details

$26.8K

$112K

$199.2K

How much do predictive analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for predictive analytics in Baltimore, MD is $112,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $122,200.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Baltimore, MD? The most popular types of Predictive Analytics jobs in Baltimore, MD are:
What job categories do people searching Predictive Analytics jobs in Baltimore, MD look for? The top searched job categories for Predictive Analytics jobs in Baltimore, MD are:
Infographic showing various Predictive Analytics job openings in Baltimore, MD as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,005 per year, or $53.8 per hour.

Actuarial & Business Analytics Analyst

ceiwc

Towson, MD

Full-time

Posted 16 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.