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Intern Data Science Insurance Jobs in Bellevue, WA

Data Scientist

Bellevue, WA ยท On-site

$160K - $200K/yr

You'll collaborate with data science teammates, talented engineers and product experts to produce ... We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k) ...

Data Scientist

Renton, WA ยท On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred ... Life and accidental death and dismemberment insurance. * EAP services including wellness plans ...

Showing results 21-40

Intern Data Science Insurance information

See Bellevue, WA salary details

$13

$25

$47

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

As of Aug 21, 2026, the average hourly pay for intern data science insurance in Bellevue, WA is $25.40, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $27.69 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.

What are popular job titles related to Intern Data Science Insurance jobs in Bellevue, WA?

For Intern Data Science Insurance jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Insurance jobs in Bellevue, WA look for?

The top searched job categories for Intern Data Science Insurance jobs in Bellevue, WA are:

Infographic showing various Intern Data Science Insurance job openings in Bellevue, WA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $52,831 per year, or $25.4 per hour.

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

What you'll do:
You will be an integral part of a team developing and deploying groundbreaking
data-based solutions to complex problems. You'll collaborate with data science
teammates, talented engineers and product experts to produce solutions with
direct impact on company performance.
This role will be based in the Bellevue or New York office. Our team follows a hybrid schedule working in-office three days a week and remotely for the rest. This is an exempt position.
Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:
Job Description
With experience in data science, machine learning, statistical modeling, and/or
deep learning you will bring a passion for problem-solving, turning data into
actionable insights, and collaboration with supporting teams.
Strong programming skills in Python, SQL, and other data science tools are essential.
Communicate technical concepts and findings to both technical/non-
technical team members
Collaborate with Engineering and Product teams to understand product
requirements and help create optimal/scalable solutions
Help design and implement scalable data science-based solutions, data
processing, and machine learning pipelines
Write scalable and clean code
What you'll bring
Education in Computer Science, Engineering, Statistics, Mathematics, or a
related technical field with 6+ years of overall experience
2+ years of work experience in creating data science-based solutions
Genuine curiosity and a growth mindset - you actively seek out new
techniques, tools, and domains beyond your current role and can point to
concrete examples of self-directed learning
Proactiveness and self-motivation - you follow through on tasks without
needing close supervision, ask good questions when blocked, and look for
ways to contribute beyond your immediate assignment
Creative problem-solving and analytical skills with experience in statistical
analysis and hypothesis testing
Excellent verbal and written communication skills to present complex data
findings to technical and non-technical stakeholders
Significant experience with SQL, Python, and machine learning packages
(e.g., sklearn, keras)
Experience in implementing machine learning pipelines
What we would like to see
MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a
related technical field
MarTech/AdTech experience preferred; expertise with AdTech SSPs is a
strong plus.
Experience in Neural Networks, Deep Learning, TensorFlow, and/or
PyTorch
Experience with Spark/PySpark
Experience with latency-sensitive scalable machine learning models
In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $200,000 the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.
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