Principal Data and AI Scientist

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Town of Florida (NY)

On-site

USD 180,000 - 240,000

Full time

9 days ago

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Job summary

PEMCO seeks a senior Data Scientist to lead the development of advanced ML models across pricing, underwriting, claims, and risk. You will design end-to-end analytics solutions from problem framing to deployment and monitoring, and champion validation, fairness, and performance tracking.

You will partner with executives and actuarial teams to shape analytics strategy, translate findings for diverse audiences, and influence roadmaps by quantifying impact and uncertainty.

Qualifications

B.A. or B.S. in a related field; equivalent work experience.
Master's or Ph.D. in a related field preferred.
10 years of enterprise-scale AI/ML model design and deployment.
7 years with cloud AI platforms: Azure ML, Databricks, Snowflake.
Insurance industry experience in Auto/Home/Umbrella processes.
Hands-on Gen AI, RAG pipelines, Vector Databases, Knowledge Graphs.
Strong problem solving and statistical foundations.
Experience in NLP and generative AI applications.
Expertise in MLOps, lifecycle management, deployment at scale.
Proficient in Python, PySpark, SQL.

Responsibilities

Lead development of advanced statistical and ML models across pricing, underwriting, claims, and risk.
Design end-to-end analytical solutions from problem framing to deployment and monitoring.
Champion model validation, explainability, fairness, and performance monitoring.
Evaluate modeling techniques based on business context.
Partner with executives and actuarial teams to shape analytics strategy.
Translate analytics into actionable insights for technical and nontechnical audiences.
Influence roadmap by quantifying impact, risk, and uncertainty.
Collaborate with data engineering and ML platform teams to productionize at scale.
Define standards for reproducibility, documentation, testing, and lifecycle.
Contribute to internal data science tooling and ML infrastructure.
Mentor data scientists and raise analytical rigor across the org.
Foster curiosity and evidence-based decision-making; uphold PEMCO ethics.
Support the PEMCO Brand and attract top talent.

Skills

AI/ML Model Development

Cloud-Based AI Platforms

Statistical Analysis

MLOps & Deployment

Insurance Industry Experience

Education

Bachelor's degree in related field

Master's or Ph.D. preferred

Tools

Python

PySpark

SQL

NLP

Generative AI

LangChain

Hugging Face Transformers

Azure Machine Learning

Databricks

Snowflake

Azure Databricks

Delta Lake

Unity Catalog

Azure Synapse Analytics

Azure Data Factory

Vector Databases

Knowledge Graphs

Job description

Lead development of advanced statistical and machine learning models across pricing and rating, underwriting and risk selection, claims severity and frequency, fraud detection, customer lifetime value, retention, and growth
Design end-to-end analytical solutions from problem formulation and feature engineering through model deployment and monitoring
Champion model validation, explainability, fairness, and performance-monitoring best practices aligned with regulatory and ethical standards
Evaluate and select modeling techniques based on business context
Partner with executives, product leaders, and actuarial teams to shape analytics strategy and identify high-impact opportunities
Translate complex analytical findings into actionable insights for technical and nontechnical audiences
Influence roadmap decisions by quantifying business impact, risk, and uncertainty
Collaborate with data engineering and ML platform teams to productionize and maintain models at scale
Define standards for model reproducibility, documentation, testing, and lifecycle management
Contribute to internal data science tooling, experimentation frameworks, and ML infrastructure
Mentor and serve as a technical role model for data scientists
Raise analytical rigor, code quality, and scientific thinking across the organization
Foster curiosity, experimentation, and evidence-based decision-making
Demonstrate PEMCO's policies, values, code of ethics, and business conduct
Support the PEMCO Brand and help attract top talent
Perform other duties as assigned

Requirements

B.A. or B.S. degree or equivalent work experience in a related field
Master's degree or Ph.D. in a related field preferred
10 years of enterprise-scale experience designing, implementing, and deploying AI/ML models
7 years of experience with cloud-based AI platforms, including Azure Machine Learning, Databricks, and Snowflake
7 years of experience implementing supervised and unsupervised learning techniques in real-world applications
Insurance industry experience required, particularly Auto, Home, and Umbrella insurance processes, underwriting, claims analysis, and risk assessment
Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
Strong problem-solving skills and deep understanding of statistical and mathematical principles
Strong experience in NLP and generative AI applications
Expertise in MLOps, model lifecycle management, and AI model deployment at scale
Proficiency in Python, PySpark, and SQL
Deep understanding of Azure Databricks, Delta Lake, Unity Catalog, Azure Synapse Analytics, and Azure Data Factory
Experience with distributed model training and serving on Databricks
Experience with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers preferred
Familiarity with Azure OpenAI, LLM fine-tuning, or cognitive services preferred
Expertise in supervised and unsupervised learning techniques
Familiarity with agile software delivery methodologies such as Scrum

Core Competencies

Demonstrates expertise in designing and deploying advanced statistical and machine learning models, with a strong focus on model validation, explainability, and performance monitoring. Proficient in translating complex analytical findings into actionable insights while collaborating with cross-functional teams in the insurance industry.

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