About the Role
This role drives the future of AI-powered decision-making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. Join our dynamic, centralized Data Science team to execute our AI/ML roadmap, focusing on developing and maintaining predictive models across all business domains. You will collaborate with senior data scientists to build, support, test, deploy, and monitor AI/ML and Gen AI models, ensuring efficacy, compliance, and system performance to deliver measurable business value.
Responsibilities
- Build and deploy AI/ML models with general guidance.
- Act as a liaison between ML Engineers and the Data Science team, managing AI/ML model deployments and conducting testing.
- Participate in developing modeling presentations and present results to stakeholders and management.
- Address loosely defined problems using creative approaches to generate actionable insights for business growth, customer satisfaction, policy growth, retention, and profitability.
- Complete required data preparation, including data input, identify anomalies, and seek guidance for adjustments.
- Identify data and operational issues requiring specialized analytics, data scrubbing, and modeling techniques.
- Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
- Create and maintain modeling best practices and new techniques in coordination with business partners.
- Explain advanced analytic and modeling procedures to non-technical audiences, understanding stakeholder requests and proposing solutions.
- Schedule and prioritize workload, maintain organizational skills, and complete technical peer reviews.
- Maintain strong interpersonal skills, including active listening, professional oral and written business communications, presentations, and relationship building to understand insurance company processes.
Requirements
- Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.
- Demonstrated experience building and deploying statistical and machine learning models to address business challenges.
- Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.
- Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
- Familiarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.
Skills
- 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.
Location
- Amelia, Ohio
- Across the United States
- Hybrid
Work Type
- Hybrid
Experience Level
- Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
- Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.
Education Level
- 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
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 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)
- 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
- A We Proudly Serve coffee shop
- An on-site complimentary workout facility
- 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
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
