Senior Data and AI Scientist

PEMCO

Senior Data and AI Scientist developing AI models for insurance value chain. Leveraging Generative AI, Retrieval-Augmented Generation, and other advanced technologies.

Posted 5/22/2026full-timeSeattle • Arizona, Florida, Idaho, Illinois, North Carolina, Ohio, Oregon, South Carolina, Texas, Washington • 🇺🇸 United StatesSenior💰 $129,038 - $215,063 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Develop and deploy AI models across the insurance value chain, leveraging both supervised and unsupervised learning techniques.
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven decision support.
Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement.
Develop data pipelines for ingestion, transformation, and storage to support AI/ML workloads.
Design and implement scalable solutions using cloud-based AI platforms such as Azure Machine Learning, Databricks.
Implement MLOps best practices, including CI/CD for model training, validation, deployment, and monitoring.
Develop generative AI models for personalized customer experiences and automation of complex decision-making processes.
Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources.
Optimize AI models for performance, scalability, and reliability in enterprise environments.
Conduct architecture design reviews and performance tuning for AI/ML applications
Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies.
Ensure compliance with ethical AI principles, model governance, and data privacy regulations.
Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct.
Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
Other duties as assigned.

Requirements

What you’ll need

B.A. or B.S. degree or equivalent work experience in a related field, such as Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or Data Engineering. Master’s or Ph.D. in a related field, such as Artificial Intelligence, Data Science, or Machine Learning preferred.
5+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models.
5+ years of experience working with cloud-based AI platforms, including Azure Machine Learning, Databricks, and Snowflake.
5+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications.
Experience in the insurance industry, particularly in Auto, Home, and Umbrella insurance processes, underwriting, claims analysis, and risk assessment is required.
Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred.
Job Specific: Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs.
Job specific: Strong problem-solving skills and a deep understanding of statistical and mathematical principles.
Job specific: Strong experience in natural language processing (NLP) and generative AI applications.
Job specific: Expertise in MLOps, model lifecycle management, and AI model deployment at scale.
Job specific: Proficient in Python, PySpark, and SQL
Job specific: Deep understanding of Azure Databricks, Delta Lake, Unity Catalog, Azure Synapse Analytics, and Azure Data Factory
Job specific: Experience with distributed model training and serving on Databricks
Job specific: Familiarity with Azure OpenAI, LLM fine-tuning, or cognitive services is a strong plus.
Expertise in both supervised and unsupervised learning techniques and the ability to implement AI/ML solutions that enhance data-driven decision-making in the insurance industry, particularly in Auto, Home, and Umbrella insurance.
Familiarity with agile software delivery methodologies such as Scrum.

Benefits

Comp & perks

Covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages.
Eligible to participate in PEMCO’s 401(k) plan, which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums).
PEMCO provides a variety of time off programs including:
Vacation and eight (8) paid holidays.
Granted four (4) floating holidays and up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status).
In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community.
Education Assistance Program after one year of service.
Scholarship program for children of PEMCO employees after one year of service; children’s birthday gift program
Flexible Spending Accounts, Employee Assistance Program, and charitable gift matching
Other compensation, depending on role, contributions, and performance, may include:
Discretionary bonuses.
Tiered sales commissions and/or incentives

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI modelssupervised learningunsupervised learningRetrieval-Augmented Generation (RAG)natural language processing (NLP)MLOpsPythonPySparkSQLgenerative AI

Soft Skills

problem-solvingcross-functional collaborationstrategic thinkingcommunicationethical AI principles

Certifications

B.A. or B.S. degreeMaster’s or Ph.D. in a related field