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Principal Data Scientist (AI)
American Modern Insurance Group
- United States
- United States
Über
Principal Data Scientist - AI
role at
American Modern Insurance Group
Title:
AI Data Scientist
Location:
current schedule is hybrid (40-50% in the Amelia, Ohio office), open to consider remote candidates
Recruiter:
Sonya Fischesser
Salary range:
$150-170K base
Exempt position
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property – such as manufactured homes and specialty dwellings – and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can’t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re’s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key leadership role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a senior member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting‑edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision‑making. You will collaborate with senior stakeholders to identify complex business problems, develop tailored solutions, and implement advanced statistical and machine learning techniques to drive business outcomes.
Purpose Use data and statistical analysis to drive business decisions and target improved results across various functional areas.
Roles & Responsibilities
Lead development and execution of AI/ML strategy.
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.
Collaborate with cross‑functional teams to identify business problems and develop data‑driven solutions.
Work closely with data engineering teams to design and implement data pipelines and architectures.
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers’ requests and hidden issues and explain possible solutions in their language.
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
Maintain strong interpersonal skills – listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.
Required Technical Skills
Expert‑level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit‑learn.
Experience with other programming languages, including R.
Deep understanding of AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
Experience with Databricks or similar big data platforms is highly desirable.
Familiarity with cloud‑based data platforms, such as AWS or Azure, is a plus.
Strong understanding of data structures, algorithms, and software design patterns.
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.
Strong commitment to testing, validation, and continuous improvement of models and workflows.
Experience with MLflow, including model management, versioning, and deployment.
Skills / Knowledge / Experience
Leads a team that completes modeling projects and statistical analysis.
Effectively communicate results to business partners and help drive business decisions.
Participate in creation and discussion of best practices and propose new techniques.
Assist in managing projects and directing work of more junior team members.
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.
Education, Certifications & Designations
Master’s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major.
Insurance Benefits
Two options for your health insurance plan (PPO or High Deductible)
Prescription drug coverage (included in your health insurance plan)
Vision and dental insurance plans
Short and Long Term Disability coverage
Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
Other Benefits
A robust 401k plan with up to a 5% employer match
A retirement savings plan that is 100% company funded
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
Eligibility to receive a yearly bonus as a Munich Re employee
A variety of health and wellness programs provided at no cost
A hybrid environment that gives you a choice in where and how you get work done
A corporately subsidized on‑site cafeteria as well as a We Proudly Serve coffee shop
An on‑site complimentary workout facility as well as walking trails on campus grounds
On‑site wellness center complete with nurse practitioner
Financial assistance for adoptions and infertility treatment
Paid time off for eligible family care needs
Tuition assistance and educational achievement bonuses
Free parking
A corporate matching gifts program that further enhances your charitable donation
Paid time off to volunteer in your community
Equal Opportunity Statement We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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