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Intern Data Science Insurance Jobs in Bend, OR (NOW HIRING)

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Life insurance, as well as short-term and long-term disability insurance. * Employee assistance ... Demonstrated experience applying data science, machine learning, AI, or scientific computing ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Life insurance, as well as short-term and long-term disability insurance. * Employee assistance ... Demonstrated experience applying data science, machine learning, AI, or scientific computing ...

Lonza Group Ltd.

Applied R&D Data Scientist

Bend, OR · On-site

Life insurance, as well as short-term and long-term disability insurance. * Employee assistance ... Demonstrated experience applying data science, machine learning, AI, or scientific computing ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site

Life insurance, as well as short-term and long-term disability insurance. * Employee assistance ... Demonstrated experience applying data science, machine learning, AI, or scientific computing ...

Qorvo, Inc.

Software Engineer Intern

Bend, OR · On-site

$31 - $42/hr

Currently enrolled in Computer Science, Computer or Software Engineering, Information Systems, or a ... Structured data formats (JSON, XML, CSV, Parquet) and file or message transport (SFTP, message ...

Qorvo, Inc.

Software Engineer Intern

Bend, OR · On-site

$31 - $42/hr

Currently enrolled in Computer Science, Computer or Software Engineering, Information Systems, or a ... Structured data formats (JSON, XML, CSV, Parquet) and file or message transport (SFTP, message ...

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How much do intern data science insurance jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for intern data science insurance in Bend, OR is $23.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.87 per hour, depending on experience, location, and employer.

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.

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Intern Data Science Insurance jobs near you

Applied R&D Data Scientist

Bend, OR • On-site, Remote

Lonza
Biotechnology Research and Development • 10K+ employees
Learn more about Lonzaexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Lonza rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

Job description

Applied R&D Data Scientist
Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global organization.
What you will get:
A competitive compensation. In addition, below you will find a comprehensive summary of the benefits package we offer:
  • Performance-related bonus.
  • Medical, dental and vision insurance.
  • 401(k) matching plan.
  • Life insurance, as well as short-term and long-term disability insurance.
  • Employee assistance programs.
  • Paid time off (PTO).

Compensation for this role will be determined by the candidate's qualifications, skills, experience, and relevant knowledge.
What you will do:
  • Develop and apply machine learning, statistical, AI, and cheminformatics solutions to address high-priority R&D challenges across chemical synthesis, process development, analytical sciences, and bioconjugation.
  • Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools that enhance scientific understanding and experimental efficiency.
  • Build, validate, and optimize predictive and analytical models for applications such as reaction prediction, process optimization, impurity analysis, and experimental design.
  • Design and evaluate innovative AI-enabled capabilities, including generative AI, semantic search, information extraction, and scientific knowledge systems.
  • Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks while ensuring scientific rigor and appropriate treatment of uncertainty and model limitations.
  • Collaborate closely with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams to deliver impactful technical solutions and support implementation.
  • Drive projects independently from problem definition through to validated outcomes, contributing to the growth of Lonza's data science and AI capabilities within Advanced Synthesis.

What we are looking for:
  • Bachelor's or advanced degree in a relevant quantitative or scientific discipline, with demonstrated experience applying data science or machine learning to chemistry, molecular, pharmaceutical, or related scientific R&D problems.
  • Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems.
  • Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools.
  • Working knowledge of chemistry and chemical data, including familiarity with chemical structures, reactions, properties, and experimental datasets.
  • Experience developing, validating, and interpreting predictive models while effectively communicating results, assumptions, uncertainty, and limitations.
  • Proven ability to work independently in ambiguous technical environments, identify practical solutions, and deliver high-quality outcomes with scientific rigor.
  • Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and engage both technical and non-technical stakeholders.

About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you're ready to help turn our customers' breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.

What Lonza employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Lonza

Sourced by ZipRecruiter

Industry

Biotechnology research and development and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Bern, KS, US

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