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Data Scientist Insurance Jobs in Portland, OR (NOW HIRING)

We are seeking a Temporary Data Scientist for a 9-month assignment to support analysis and data ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... Fully paid medical insurance plans and dental and vision reimbursement plan * Health Savings ...

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... Fully paid medical insurance plans and dental and vision reimbursement plan * Health Savings ...

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Showing results 1-20

Data Scientist Insurance information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do data scientist insurance jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data scientist insurance in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.
What are popular job titles related to Data Scientist Insurance jobs in Portland, OR? For Data Scientist Insurance jobs in Portland, OR, the most frequently searched job titles are:
Infographic showing various Data Scientist Insurance job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Temporary Data Scientist

nLIGHT

Vancouver, WA

$40/hr

Full-time, Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Who We Are
 
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
 
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Scientist for a 9-month assignment to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.  
 

This position is anticipated to last approximately 9 months.

Responsibilities 
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges. 
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences. 
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner. 
Requirements   
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    •  Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems. 
    • Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. 
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred. 
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred. 
    • Experience working with complex enterprise data environments and large datasets. 
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred. 
    • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. 
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus. 
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS: 
This is a fixed‑term (approximately 9 months), exempt role with a competitive salary and full benefits.
Data Scientist pay range:  $ annually
Other compensation and benefits
  • Target Cash Bonus of 6% of earned wages
  • Eligible for Restricted Stock Unit grants
  • 4 weeks of Paid Time Off per year 
  • 10 paid Holidays 
  • Eligible for health benefits on the 1st day of the month after your start date 
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period 
  • Flexible Spending and Health Savings Accounts  
  • Employee Stock Purchase Plan  
  • 401(k) with company match and immediate vesting  
  • Company paid Short-Term and Long-Term Disability, and Life & AD&D Insurance 
  • Employee Assistance Program 
  • Aflac Supplemental Insurance 
  • Paid Bereavement Leave and Jury Duty 
  • Tuition Assistance Program 
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 or HR@nlight.net.
E-Verify Participation: 
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. 
  
For more information, please review the following notices: 
  •  E-Verify Participation Poster  
  •  Right to Work Poster