Purpose:

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

Roles & Responsibilities:

Lead pricing model strategy for a subset of products.\nDevelop, deploy, monitor, and maintain predictive models.\nEffectively collaborate with stakeholders.\nManage filing schedules for aligned products.\nPrepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.\nParticipate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.\nConcentrate 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.\nComplete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.\nIdentify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.\nDocument 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 in general.\nCreate and maintain modeling best practices and new techniques in coordination with internal and external business partners.\nExplain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.\nSchedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.\nMaintain 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.\nMentor junior data scientists and team members.

Required Technical Skills:

FCAS required.\nExperience in multiple programming languages, including R and Python.\nDeep understanding of GLMs and GBMs.\nFamiliarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.\nExperience with Databricks or similar big data platforms is highly desirable.\nStrong understanding of data structures, algorithms, and software design patterns.\nExperience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.\nStrong commitment to testing, validation, and continuous improvement of models and workflows.\nProven experience with project management and prioritization.

Skills / Knowledge

Experience:

Independently build models and statistical analyses.\nEffectively communicate results to business partners and help drive business decisions.\nParticipate in creation and discussion of best practices and propose new techniques.\nManage projects and direct work of more junior team members.\nSix (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry.

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)\nSupplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)\nVoluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)\nPrescription drug coverage (included in your health insurance plan)\nShort and Long Term Disability coverage\nVision and dental insurance plans In addition to the above insurance offerings, our employees also enjoy: A robust 401k plan with up to a 5% employer match\nA retirement savings plan that is 100% company funded\nPaid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries\nEligibility to receive a yearly bonus as a Munich Re employee\nA variety of health and wellness programs provided at no cost\nA hybrid environment that gives you a choice in where and how you get work done\nA corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop\nAn on-site complimentary workout facility as well as walking trails on campus grounds\nOn-site wellness center complete with nurse practitioner\nFinancial assistance for adoptions and infertility treatment\nPaid time off for eligible family care needs\nTuition assistance and educational achievement bonuses\nFree parking\nA corporate matching gifts program that further enhances your charitable donation\nPaid 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. Sometimes we are fortunate enough to receive a high volume of applications. After reviewing all applications, we will contact only the selected candidates to schedule an interview. We are grateful for all candidates and their interest. 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Principal Data Scientist