Principal AI Data Scientist

The Principal AI Data Scientist will use data and statistical analysis to support business decisions through predictive analytics and governed enterprise AI lifecycle leadership. The role focuses on building, deploying, and scaling AI solutions that contribute to customer satisfaction, policy growth, retention, and profitability.

Key Responsibilities

• Prepare and complete predictive analytics analysis and modeling on very complex projects with general guidance.
• Support the development of predictive analytics and modeling presentations, and present results and topics to internal and external customers and management as requested.
• Work on loosely defined problems using creative approaches, delivering actionable insights that improve 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 that require 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.
• Create and maintain modeling best practices and develop new techniques with internal and external business partners.
• Explain advanced analytic and modeling procedures in plain language for audiences without predictive analytics training, translating customer requests and hidden issues into understandable solutions.
• Schedule and prioritize workload demands; maintain strong organization skills; complete technical peer reviews as needed.
• Provide hands-on leadership across the full AI lifecycle, from model development and evaluation through production deployment, ensuring scalable, reliable, and governed solutions.

Required Qualifications

• Strong background in statistical programming in R, Python, SAS, or related software.
• General programming and data knowledge, including SQL.
• Familiarity with common statistical and machine learning techniques: linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, clustering techniques, and shrinkage techniques including lasso regression.
• Experience with data wrangling and evaluating data quality, including transforming and cleaning data as appropriate for analysis.
• Experience leading, coaching, and developing a team to complete modeling projects and statistical analysis.
• Ability to effectively communicate results to business partners and support business decision-making.
• Participation in creation and discussion of best practices and proposing new techniques.
• Experience assisting with project management and directing work of more junior team members.
• Experience requirement: 6+ years of data science/predictive analytics experience in (re)insurance, or 8+ years predictive modeling experience in another industry.

Technology Stack

• R, Python, SAS, SQL
• Linear regression, logistic regression, GLMs
• CART, Random Forests, GBMs
• Principal Component Analysis
• Clustering techniques, lasso regression

Benefits

• Two options for health insurance plan: PPO or High Deductible
• Supplemental Life and AD&D plans you can purchase for yourself and dependents (includes spouse/domestic partner and children)
• Voluntary Benefit plans to supplement health and life insurance (Accident, Critical Illness, Hospital Indemnity)
• Prescription drug coverage included in your health insurance plan
• Short and Long Term Disability coverage
• Vision and dental insurance plans
• Robust 401k plan with up to a 5% employer match
• Retirement savings plan that is 100% company funded
• Paid time off beginning with 24 days each year, with additional days added for milestone service anniversaries
• Yearly bonus eligibility as a Munich Re employee
• Health and wellness programs provided at no cost
• Hybrid environment with flexibility on where and how you work
• Corporately subsidized on-site cafeteria and a We Proudly Serve coffee shop
• On-site complimentary workout facility and walking trails
• 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
• Corporate matching gifts program to enhance charitable donations
• Paid time off to volunteer in your community
• Additional benefits listed in the posting: Wettbewerbsgerechtes Gehalt, Betriebliche Sonderzahlungen, Sonderleistungen, Altersvorsorge & finanzielle Sicherheit, Verantwortungsbewusster Arbeitgeber, Learning & Development, Unterstützung für Familien & Work-Life-Blance, Health & Wellbeing

Location and Work Arrangement

Amelia, OH, USA (remote). The role is listed with a hybrid environment that gives you a choice in where and how you get work done.