Senior Data and AI Scientist

Applicants must be a resident and work from one of the following states: WA, OR, ID, TX, OH, FL, SC, NC, AZ and IL, with occasional travel to our headquarters, located in Seattle, WA.

Who We Are: 
At PEMCO, we’re all about people – our customers, our employees, and the community.  We’re a mutual insurance company owned by our Northwest policyholders.  We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America’s Best Insurance Companies in both Auto and Home for 2026, based on customer survey feedback, and by Newsweek as one of America’s Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work!

Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We’re committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we’re different and the same – enabling all individuals to achieve their full potential.

Why We Need You:
PEMCO has an opportunity for a Senior Data and AI Scientist to join our community.  This position is focused on leveraging Generative AI (Gen AI), Retrieval-Augmented Generation (RAG), Vector Databases, and Knowledge Graphs to develop and deploy AI models across the insurance value chain.

What You’ll Be Doing:

• 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.

  
  

What You'll Bring:

• 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.

  Compensation:

  The pay range for this role is shown below. Compensation decisions are determined based on an individual’s qualifications, job-related knowledge, skills, and experience.

• Greater Seattle area target pay range: $ 154,845 - $189,255. The full pay range is $129,038- $215,063

• Outside Greater Seattle area target pay range: $136,654 -$167,022.  The full pay range is $ 113,838 -$189,797.
  Greater Seattle Area is defined as working within approximately 100 miles of Seattle.
  Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle.

  Benefits:

• Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are:
• 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.
  Other miscellaneous benefit programs offered by PEMCO include:
•  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

  
  

Equal Employment Opportunity:
At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status.

Accommodations
At PEMCO, people are at the heart of our business. We’re committed to providing an inclusive hiring experience for all candidates. If you need reasonable accommodations to apply for a role or participate in an interview, please contact us by email with your name, the job reference number(s), your preferred contact method, and a brief description of the accommodation needed. Requests are considered on a case by case basis in accordance with applicable disability laws, including the ADAAA.

Applicants have rights under Federal Employment Laws:

• Family and Medical Leave Act (FMLA) 
• Equal Employment Opportunity (EEO) 
• Employee Polygraph Protection Act (EPPA)