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Mid Level Machine Learning Teaching Jobs in Nebraska

Brookfield

Sr P&C Data Scientist

Omaha, NE · On-site

This role applies statistical, machine learning, and data analysis techniques to insurance data to ... Operating with a high level of independence and accountability, the role partners closely with ...

Kiewit

Product Manager, ServiceNow

Papillion, NE · On-site

Mid Level Home District/Group: DHO Information Technology Group Department: Technology Group Market ... Evaluate and operationalize AI-driven workflows, predictive models, and machine-learning use cases

Varsity Tutors

Data Science Tutor

Lincoln, NE · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Omaha, NE · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

In this role, you will contribute to the development and deployment of modern machine learning ... Implementation experience with a variety of high-level languages (e.g. Python, C++) * Experience ...

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Mid Level Machine Learning Teaching information

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

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For Mid Level Machine Learning Teaching jobs in Nebraska, the most frequently searched job titles are:

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Cities in Nebraska with the most Mid Level Machine Learning Teaching job openings:

Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr P&C Data Scientist

Omaha, NE • On-site

American National Insurance Company
See more jobs at American National Insurance Companyexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

American National Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

Company
Farm Family
Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.
Job Description
The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.
Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors less-experienced team members and contributes to the continued maturation of the pricing analytics function.
Key Responsibilities
Pricing & Insurance Analytics
  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution
  • Own the end-to-end analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills
  • Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication
  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decision-making by framing trade-offs, risks, and opportunities using data-driven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and cross-functional leadership

Coaching & Continuous Improvement
  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications
  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to real-world business problems
  • Strong analytical judgment, problem-solving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications
  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, tree-based models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level
  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Albany & Chicago Pay Range $102,000 - $152,000
Los Angeles & New York City Pay Range $112,000 - $160,000
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
Core Values
At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.

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