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About the Role

Lead sophisticated machine learning and GenAI solutions that shape strategy and outcomes in AI-powered decision-making.

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 the development of modeling presentations and present results/topics to stakeholders and management.
• Concentrate on loosely defined problems requiring creative approaches.
• Contribute to projects yielding actionable insights for business growth, customer satisfaction, 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 stakeholders with guidance.
• Create and maintain modeling best practices and new techniques in coordination with business partners.
• Explain advanced analytic and modeling procedures in accessible language.
• Understand stakeholder requests and hidden issues, explaining possible solutions.
• Schedule and prioritize workload demands.
• Maintain very good organization skills.
• Complete technical peer reviews as needed.
• Maintain strong interpersonal skills, including deep listening, asking correct questions, note-taking, professional oral and written communication, presentations, and building business relationships.
• Better understand insurance company processes and functions.
• Establish relationships with multiple areas of interaction.

Requirements

• Proficiency in statistical programming languages such as R, Python, SAS, or similar.
• 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.
• Familiarity with Git for version control.
• Familiarity with agile frameworks using tools like Azure DevOps.
• 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.
• 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.

Skills

• Machine learning
• GenAI
• R
• Python
• SAS
• SQL
• Data wrangling
• Data quality evaluation
• Data transformation
• Data cleaning
• AI/ML model testing
• AI/ML model validation
• AI/ML model deployment
• CI/CD pipelines
• MLflow
• Git
• Azure DevOps
• Project management
• Statistical analysis
• Communication
• Mentoring
• Interpersonal skills

Location

• Amelia, Ohio
• United States

Work Type

• Hybrid

Experience Level

• 2+ years
• 4+ years
• 6+ years

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 health insurance plan (PPO or High Deductible)
• Prescription drug coverage
• Vision and dental insurance plans
• Short and Long Term Disability coverage
• Supplemental Life and AD&D plans
• Voluntary Benefit plans (Accident, Critical Illness and Hospital Indemnity)
• Robust 401k plan with up to a 5% employer match
• 100% company funded retirement savings plan
• 24 days paid time off annually, increasing with service anniversaries
• Eligibility for a yearly bonus
• Variety of health and wellness programs
• Corporately subsidized on-site cafeteria
• We Proudly Serve coffee shop
• On-site complimentary workout facility
• Walking trails on campus grounds
• On-site wellness center with nurse practitioner
• Financial assistance for adoptions and infertility treatment
• Paid time off for eligible family care needs
• Tuition assistance
• Educational achievement bonuses
• Free parking
• Corporate matching gifts program
• Paid time off to volunteer in the community

About the Company

• American Modern Insurance Group, Inc., a Munich Re company, is a recognized specialty insurance leader.
• Delivers products and services for residential property (manufactured homes, specialty dwellings) and the recreational market (boats, personal watercraft, classic cars).
• Provides specialty product solutions that cover unique risks.
• Writes admitted products in all 50 states with a premium volume of $2.2 billion.
• Headquartered in Amelia, Ohio, with associates across the United States.
• Part of Munich Re’s Global Specialty Insurance division.
• Offers boundless opportunities for career growth and making a difference in a flexible environment.

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.