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 role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a 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 across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

• Execute AI/ML strategy, with the ability to contribute to strategy development as well.
• 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 stakeholders 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.
• 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 stakeholders' 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.
• Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.
• Experience with 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:

• Develop and project manage modeling projects and statistical analyses.
• Effectively communicate results to business partners and help drive business decisions.
• Participate in creation and discussion of best practices and propose new techniques.
• Mentor 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.
• Please note, this is not a managerial role but has the potential to develop into one over time.

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

We are proud to offer our employees, their domestic partners, and their children, a wide range of 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)

In addition to the above insurance offerings, our employees also enjoy:

• 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

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

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.

Salary range: $150-170K base

#LI-SF1