This job has closed.

American Modern Insurance Group · 1 day ago

Principal Data Scientist - AI

Cleveland, OH

Full-time

Hybrid

Senior Level, Lead/Staff

$150K/yr - $170K/yr

6+ years exp

American Modern Insurance Group, a Munich Re company, is a specialty insurance leader looking for a Principal Data Scientist to join their innovative Predictive Analytics team. In this role, you will lead the development and execution of AI/ML strategies, driving business outcomes through advanced statistical and machine learning techniques while collaborating with senior stakeholders to solve complex business problems.

InsuranceReal Estate

No H1B

Responsibilities

Lead development and execution of AI/ML strategy

Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes

Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks

Collaborate with cross-functional teams to identify business problems and develop data-driven solutions

Work closely with data engineering teams to design and implement data pipelines and architectures

Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects

Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested

Concentrate 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

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 customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general

Create and maintain modeling best practices and new techniques in coordination with internal and external business partners

Explain 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

Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed

Maintain 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

Qualification

PythonAIMachine learningLarge Language ModelsRDatabricksAWSAzureMLflowAgile methodologiesStatistical analysisData structuresSoftware design patternsCommunication skillsTeam leadershipProject management

Required

Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn

Experience with other programming languages, including R

Deep understanding of AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing

Experience with Databricks or similar big data platforms is highly desirable

Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus

Strong understanding of data structures, algorithms, and software design patterns

Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies

Strong commitment to testing, validation, and continuous improvement of models and workflows

Experience with MLflow, including model management, versioning, and deployment

Leads a team that completes modeling projects and statistical analysis

Effectively communicate results to business partners and help drive business decisions

Participate in creation and discussion of best practices and propose new techniques

Assist in managing projects and directing work of more junior team members

Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry

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