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Remote Predictive Modeling Jobs in Wisconsin (NOW HIRING)

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Predictive Modeling Projects * Educate Finance Team about AI Applications & Tools * Project ...

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... modeling, anomaly detection, and predictive analytics * Proficiency in Python and relevant ML ...

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

... models, and analytics frameworks while helping establish data governance standards and best ... Hybrid and remote options available for this role. Responsibilities : * Design, develop, and ...

Remote Predictive Modeling information

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Wisconsin? For Remote Predictive Modeling jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Wisconsin look for? The top searched job categories for Remote Predictive Modeling jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Predictive Modeling jobs? Cities in Wisconsin with the most Remote Predictive Modeling job openings:
Infographic showing various Remote Predictive Modeling job openings in Wisconsin as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Predictive Modeling Manager (Actuarial Team)

6AM City

Madison, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Description Job Title: Predictive Modeling Manager (Actuarial Team) Home Department: Actuary Employment Status: Exempt; Full‐time Schedule: 40 hours/week with Flexible Scheduling Opportunities This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the 9 states which Society conducts business in. Visit us at https://societyinsurance.com/ to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. About the Role Utilizes and verifies data to prepare predictive modeling analysis. Assists in the design of data structure necessary for the monitoring and reporting of results. Maintains clear and concise documentation of modeling methods, selections, and best practices. Works with other department stakeholders to shape best practices around the application of statistical modeling. Provides recommendations to management regarding the selection of outside vendors. Explores business problems provided through investigation and interviews with subject matter experts. Then models different potential solutions. Assess pros and cons of strategies of resolution for given area of assignment and brings forward recommendations for improvements or new processes to be implemented. Works with Change Management to map out communication and implementation plans of given changes. Maintains working knowledge of state legal requirements and current business and industry trends and practices as it pertains to model use and implementation. Works in collaboration with other leaders to ensure consistent compliance with state and federal departments of insurance and other regulatory agencies. Demonstrates effective leadership capabilities by attaining results through others. Through a self‐sufficient and self‐confident approach elicits the trust and confidence of their team. Defines and implements data testing standards. This includes planning, creating, evaluating, and tracking testing results. Solves problems with a wide degree of creativity and latitude. Ensures quality and timeliness of assigned projects for the team. Monitors and mentors team members in development of their assigned project deliverables; appraises work results. About You You enjoy working with others in a positive, proactive, and collaborative team setting. You enjoy coaching and developing others. You excel at communicating in a concise, direct, and unambiguous way. You empower and motivate others to take greater responsibility. You are results driven and makes decisions that are based on sound evidence. You are analytically focused and enjoy making fact‐based decisions. You are organized and easily assess data quality and can organize it coherently. You enjoy taking a systematic approach to making process improvements. You enjoy analyzing, investigating, and using the facts to make decisions. What it Will Take Bachelor degree in Math, Statistics, Economics, or related field. 5+ years of modeling experience. Proficient skills in SQL, Excel, and BI reporting tools to create reports, dashboards, and analytics. Strong working familiarity of industry standards, regulations, etc. including working knowledge of organizations such as PAAS, ISO, NCCI, and WCRB. Prior experience successfully supervising, leading, training, or directing others. Knowledge of the property and casualty insurance industry and related business processes. A general understanding of a Data Warehouse structure. Master's degree in Statistics highly desirable. Completion of insurance and/or premium auditing designations highly desirable: AINS, APA, CPCU, CIPA, etc. Successfully attained ACAS or FCAS highly desirable. What Society Can Offer Comprehensive Benefits Package: Salary with bonus plan; Health, Dental, Life, and Vision insurance Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit‐Sharing Plan Work‐Life Balance: Company‐paid holidays; Flexible scheduling; PTO; Telecommuting options Education: Career Coaching; Company‐paid courses; Student loan and Tuition reimbursement Community: Charitable Match; Paid Volunteer time; Team Sponsorships Wellness: Employee Assistance Program; Wellness Initiatives/Rewards; Health Coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. Society Insurance is a drug‐free workplace. Any candidate who receives an offer of employment from Society will be required to undergo a pre‐employment drug test for controlled substances. All offers of employment are contingent upon successful completion of the pre‐employment drug test, which is conducted in accordance with Society's substance abuse policy. #J-18808-Ljbffr