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Intern Data Science Insurance Jobs in Oregon (NOW HIRING)

Marketing AI Intern

OR ยท On-site +1

$20 - $25/hr

As our Marketing AI Intern , you'll help the marketing team work faster and smarter with AI. You'll ... Pursuing or recently completed a degree in computer science, engineering, data science, or a ...

New

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Salem, OR ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Gresham, OR ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Portland, OR ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Eugene, OR ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Qualifications: * 5-8+ years in data science, applied ML, or statistics, shipping production models ... Benefits Health Insurance coverage 401k Plan Unlimited PTO 5- year Sabbatical: After 5 years with ...

Showing results 41-60

Intern Data Science Insurance information

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What cities in Oregon are hiring for Intern Data Science Insurance jobs?

Cities in Oregon with the most Intern Data Science Insurance job openings:

Infographic showing various Intern Data Science Insurance job openings in Oregon as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution.

Head of US Healthcare Data Science (AI SaaS Healthcare Products)

Shift Technology

OR โ€ข On-site, Remote

Full-time

Re-posted 5 days ago


Job description

This role leads the strategic expansion of our US Health AI roadmap. You will guide and scale a high-performing group of Data Scientists and Engineers focused on US Health, within our global 200+ person Data Science organization.ย  We are looking for a pragmatic visionary, a leader who views AI not as a feature to patch onto existing software, but as the foundational architecture for the future of healthcare payment integrity. You will be responsible for moving past basic automation into true Agentic AI, balancing rapid, bleeding-edge innovation with the rigorous, explainable guardrails required in healthcare compliance.
What you'll do...

  • Define the AI Strategy: Own and execute the technical and strategic roadmap for the US Health payment integrity division, shifting the product line from passive anomaly detection to autonomous, multi-modal AI agents.
  • Lead Architectural Innovation: Champion the design and productization of robust data pipelines optimized for LLMs, ensuring the team successfully deploys advanced agentic frameworks (LangChain/LangGraph, OpenAI Agent SDK, MCP, A2A).
  • Enforce Responsible AI: Establish and oversee rigorous evaluation frameworks (including LLM-as-a-judge methodologies) to ensure all agentic decisions are completely unbiased, legally sound, secure, and fully explainable to enterprise clients.
  • Cultivate a High-Performance Team: Mentor, grow, and empower senior and junior data scientists. Foster a culture of high autonomy, rapid MVP prototyping, and continuous experimentation with next-generation AI stacks.
  • Client Advocacy & Executive Bridge: Lead high-impact client workshops, present cutting-edge prototypes, and translate complex technical architectures into clear, value-driven outcomes for healthcare payer executives and C-suite stakeholders.
  • Model-Agnostic Governance: Maintain a modular, agile product strategy, ensuring Shift's infrastructure allows for seamless integration and swapping of underlying capabilities as the market evolves.

What you bring...

  • You are an inspiring technical leader with 7+ years of Data Science experience, including a proven track record of leading teams of 7+ members for the past 5+ years with a deep understanding of Healthcare Insurance Payment Integrity / Fraud, Waste, and Abuse (FWA).
  • Advanced Generative AI Expertise: Proven hands-on experience designing and scaling production-level Large Language Models (LLMs), RAG systems, and autonomous multi-modal agent workflows.
  • Enterprise Technical Leadership: Strong background in object-oriented programming (OOP) and machine learning fundamentals, with a deep understanding of the full ML lifecycle (monitoring, versioning, and deployment).
  • Strategic Databricks & ML flow Mastery: Deep familiarity with managing enterprise AI environments utilizing Mosaic AI, Unity Catalog, Delta Lake, and leveraging MLflow for end-to-end experiment tracking and prompt engineering.
  • Exceptional Communication: A demonstrated ability to co-create products alongside clients, manage complex stakeholder expectations, and act as a bridge between deep technical execution and commercial business needs.

Highly desired skills...

  • Active contributions to open-source agentic frameworks or the broader AI research community.
  • Experience navigating complex healthcare compliance landscapes (HIPAA, HITRUST) within cloud-hosted SaaS environments (Azure/Databricks).