ZipRecruiter

Log In

1

Predictive Modeling Jobs in Philadelphia, PA (NOW HIRING)

Munich Re

Data Scientist, AI

Philadelphia, PA · On-site +1

We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making. * Apply statistical and analytical techniques to solve real-world ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

From predictive modeling and generative AI applications to workforce analytics and intelligent decision support tools, you will help shape the future of AI-driven capabilities across the enterprise.

Pwc

Data Validation Risk - Manager

Philadelphia, PA

$99K - $232K/yr

... modeling and predictive analytics to solve complex business problems - Overseeing the development of scalable data solutions to support client operations What You Must Have - At least a Bachelor ...

Aegon

Senior ALM Modeler

Philadelphia, PA · On-site

Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources. * May work on advanced ...

next page

Showing results 1-20

All JobsPredictive Modeling JobsPredictive Modeling Jobs in Philadelphia, PA

Predictive Modeling information

See Philadelphia, PA salary details

$10

$59

$83

How much do predictive modeling jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for predictive modeling in Philadelphia, PA is $59.25, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, 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 a Predictive Modeling job?

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 is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

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 jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are popular job titles related to Predictive Modeling jobs in Philadelphia, PA? For Predictive Modeling jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Philadelphia, PA look for? The top searched job categories for Predictive Modeling jobs in Philadelphia, PA are:
Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Philadelphia, PA as of July 2026, with employment types broken down into 69% Full Time, 13% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $123,232 per year, or $59.2 per hour.
Solutions Analyst - Operations Predictive Modeling & Forecasting

Solutions Analyst - Operations Predictive Modeling & Forecasting

JPMorgan Chase & Co.

Wilmington, DE • On-site

$80K - $115K/yr

Full-time

Medical, Retirement

Posted 26 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

71st of 170 rated banks

Job description


Job Summary
The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Analyst that will focus on the development/maintenance of complexity modeling that integrates into the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in building predictive models, data modeling solutions, and forecasting techniques.
As a Solutions Analyst, you will leverage statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.
Job Responsibilities
  • Design, build, and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
  • Assist in the development of data models and other user tools to support analytics initiatives and ensure data integrity
  • Apply statistical and machine learning techniques for time series analysis and forecasting.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
  • Communicate model results, insights, and recommendations to technical and non-technical audiences
  • Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
  • Document modeling processes, assumptions, and results for transparency and compliance
  • Stay updated on the latest advancements in predictive analytics, data modeling, and forecasting methodologies

Required qualifications, capabilities, and skills
  • Bachelor's degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
  • 4+ years of experience in engineering, statistics, mathematics, or another quantitative field
  • Proficiency in programming languages such as SQL, Python, R, for statistical modelling
  • Experience with data visualization tools such as Tableau and/or Power BI.
  • Strong understanding of data modeling concepts, including relational and non-relational databases
  • Demonstrated ability to query and analyze large datasets to provide meaningful insights.
  • Ability to understand LLM models and integrate AI capabilities into operational analytics, preferable
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership
  • Self-starter with ability to execute quickly and effectively
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
We offer a broad array of credit cards to meet the needs of individuals and small businesses, including Chase-branded and co-branded cards in partnership with well-known companies and organizations. Merchant Services is a leading provider of payment, fraud and data security for companies, capable of authorizing transactions across global currencies.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply