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Predictive Modeling Jobs in Wisconsin (NOW HIRING)

Lead actuarial analyses, pricing strategies, reserving, reinsurance and predictive modeling efforts to drive data-driven decision-making. * Partner with underwriting, finance, claims, and senior ...

New

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

... predictive modeling capability as a value-add proposition to the customers to improve product performance. * Plan and execute production-type special projects under contract with commercial or ...

Develop and deploy predictive models, recommendation models, and other solutions to provide timely insights, recommendations and predictions. * Work closely with engineers, data scientists and ...

... predictive modeling capability as a value-add proposition to the customers to improve product performance. * Plan and execute production-type special projects under contract with commercial or ...

These roles will focus on predictive modeling of plasma behavior across core, edge, and boundary regions, enabling data-driven design decisions and advancing fusion performance. This is an ...

Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in applied ...

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Predictive Modeling information

See Wisconsin salary details

$10

$59

$83

How much do predictive modeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for predictive modeling in Wisconsin is $59.26, 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 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 specialized software and often require knowledge of data analysis, statistics, and programming. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

What jobs make $1,000,000 a year?

In predictive modeling, high-earning roles such as senior data scientists, machine learning engineers, and analytics directors can reach or exceed $1 million annually, especially in top tech companies or financial firms. These positions typically require advanced skills in statistical analysis, programming, and experience with big data tools, along with leadership responsibilities and often performance-based bonuses or equity.

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. Continuous learning and relevant experience are more important than age when pursuing a data science career.

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 job makes $10,000 a month without a degree?

Predictive modeling roles, such as data scientists or machine learning engineers, can earn $10,000 or more per month with significant experience and expertise in statistical analysis, programming, and data tools. These jobs often require strong skills in Python, R, or SQL and may involve working in tech, finance, or consulting environments, but typically do not require a formal degree if skills are demonstrated through portfolios or certifications.
What are the most commonly searched types of Predictive Modeling jobs in Wisconsin? The most popular types of Predictive Modeling jobs in Wisconsin are:
What are popular job titles related to Predictive Modeling jobs in Wisconsin? For Predictive Modeling jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Wisconsin look for? The top searched job categories for Predictive Modeling jobs in Wisconsin are:

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


West Bend Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 261 rated insurance


Job description

Senior Data Scientist
Job Locations US-Remote
ID 2026-3518
Category Data
Full-Time
Remote/Hybrid Remote
Company Overview

Recognized as aMilwaukee Journal SentinelTop Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary
The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.
Work Location

This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Responsibilities & Qualifications
Key Responsibilities
    Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
  • Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
  • Translate business and strategic objectives into clear analytics, reporting, and data requirements
  • Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
  • Document, present, and explain modeling methodologies and results for business partners and regulatory review
  • Identify, evaluate, and integrate internal and external data sources to meet business needs
  • Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
  • Promote analytics best practices and provide consultation on data-driven initiatives
  • Evaluate third-party data, models, and analytical tools in partnership with vendors
Required / Preferred Qualifications
  • 6+ years of advanced analytics, data science, or predictive modeling experience
  • 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
  • Strong knowledge of P&C insurance data, data sources, and business processes
  • Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
  • Experience working with large datasets using SQL, Spark, or cloud-based data platforms
  • Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
  • Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
  • Self-motivated, analytical, and collaborative mindset
Education & Credentials (Preferred)
  • Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field
  • P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA
Why Join Us
  • Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions
  • Collaborate with experienced analytics and insurance professionals
  • Flexible work options (remote, hybrid, or office-based depending on location)
  • Competitive compensation, benefits, and professional development opportunities

#LI-BW1

Salary Statement

The salary range for this position is $140,000-$180,000.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.

Benefits

West Bend offers a comprehensive benefit plan including but not limited to:

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance
  • West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.