Managing Data Science Lead

Munich Re•Batavia Township, OH

5d•Hybrid

About The Position

The Managing Data Science Lead uses data and statistical analysis to drive business decisions and improve results across functional areas. The role manages a team that builds and implements modeling projects and statistical analyses supporting company financial and operational goals. It guides predictive analytics and modeling work, develops and maintains models and techniques, and leads the creation and evolution of model best practices and standard operating procedures. The position also participates in monitoring and planning functions, helps establish annual department objectives and budgets, and collaborates with peers across the international organization. The role performs and reviews predictive analytics work on complex, loosely defined problems, producing actionable insights that can support customer satisfaction, policy growth, retention, and profitability. It prepares data for analysis, identifies anomalies and data or operational issues, and communicates assumptions, results, alternatives, and potential solutions to technical and nontechnical audiences. Presentations may be delivered to internal and external customers, management, and regulators when supporting rate filings or modeling practices. The lead also prioritizes workload, completes technical peer reviews as needed, and builds relationships across the company to understand insurance processes and functions. The position is hybrid. The company offers employees a range of insurance, retirement, paid time off, wellness, education, family-care, and other benefits. Applicants requiring employer visa sponsorship will not be considered.

Requirements

Generally, ten years of actuarial, data science, or predictive analytics experience.
Five years of management experience.
Strong statistical programming background in R, Python, SAS, or related software.
General programming and data knowledge, including SQL.
Familiarity with statistical and machine learning techniques such as linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, clustering techniques, and shrinkage techniques including lasso regression.
Experience with data wrangling, evaluating data quality, and transforming and cleaning data for analysis.
Bachelor's degree in Business Analytics, Statistics, Computer Science, Statistics/Math, or Actuarial.
Ability to collaborate with peers across the international organization.
Demonstrated success interacting effectively and building strong relationships within the company.
Strong interpersonal, listening, questioning, note-taking, oral and written business communication, presentation, and relationship-building skills.

Nice To Haves

Master's degree.
Fellowship in the Casualty Actuarial Society.

Responsibilities

Manage a team that builds and implements modeling projects and statistical analyses in support of company financial and operational goals.
Prepare and complete predictive analytics analyses and modeling for complex projects, with general guidance.
Contribute to projects that produce actionable insights for customer satisfaction, policy growth, retention, and profitability.
Participate in developing predictive analytics and modeling presentations and present results or topics to internal and external customers and management as requested.
Complete required data preparation, identify data anomalies, and seek guidance on necessary adjustments.
Identify data and operational issues requiring specialized analytics attention, data scrubbing, or modeling techniques.
Document and communicate assumptions, results, and alternatives to team members and internal customers.
Communicate with regulators when called upon to support rate filings or discuss modeling practices.
Foster development and maintenance of new and existing models and techniques.
Lead the team in creating and evolving model best practices and standard operating procedures.
Create and maintain modeling best practices and techniques in coordination with internal and external business partners.
Explain advanced analytics and modeling procedures in accessible language and connect customers' requests and underlying issues to possible solutions.
Participate in monitoring and planning functions.
Plan and build department annual objectives and budget effectively for those needs.
Schedule and prioritize workload demands, maintain organization, and complete technical peer reviews as needed.
Build strong relationships within the company and collaborate with peers across the international organization.

Benefits

Two health insurance plan options: PPO or High Deductible.
Supplemental life and AD&D plans available for employees and dependents.
Voluntary accident, critical illness, and hospital indemnity benefit plans.
Prescription drug coverage included in the health insurance plan.
Short- and long-term disability coverage.
Vision and dental insurance plans.
401(k) plan with up to a 5% employer match.
A retirement savings plan that is 100% company funded.
Paid time off beginning at 24 days each year, with additional days for milestone service anniversaries.
Eligibility to receive a yearly bonus as a Munich Re employee.
Health and wellness programs provided at no cost.
Hybrid work environment with a choice in where and how work is done.
Corporately subsidized on-site cafeteria and coffee shop.
Complimentary on-site workout facility and campus walking trails.
On-site wellness center with a 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.
Paid time off to volunteer in the community.