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Intern Data Science Insurance Jobs in Washington

United Educators

Data Scientist

Bethesda, MD · On-site

$119K - $148K/yr

United Educators (UE) is a member-owned liability insurer serving K-12 schools, colleges and ... Contribute to best practices in data science, modeling, and responsible AI use across the ...

SteerBridge

Data Scientist

Vienna, VA

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

SteerBridge

Data Scientist

Vienna, VA

$137K - $155K/yr

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

SteerBridge

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, Python, AI, ML Are you VIGILANT about your career? RealmOne definitely is ... RealmOne Benefits: * Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options ...

AnaVation

Data Scientist

Washington, DC · On-site

Bachelor's Degree in Data Science, Computer Science, or related * Minimum three (3) years of hands ... Generous cost sharing for medical insurance for the employee and dependents * 100% company paid ...

iNovex Information Systems

Data Scientist 1

Annapolis, MD · On-site

$90K - $120K/yr

Job Brief Data Science Are you VIGILANT about your career? RealmOne definitely is! RealmOne was ... RealmOne Benefits: * Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options ...

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

US AI

Sr. Data Scientist

Rockville, MD

$150K - $200K/yr

Paid time off * Vision insurance WHO WE ARE US AI stands as a forward-thinking digital ... Bachelors degree or equivalent experience in a quantitative field, such as Data Science, Statistics ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Washington

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 are the key skills and qualifications needed to thrive as an Intern Data Science in 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 types of projects can an Intern in 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 most commonly searched types of Data Science Insurance jobs in Washington? The most popular types of Data Science Insurance jobs in Washington are:
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Intern Data Science Insurance jobs near you
Software Engineering Intern

Software Engineering Intern

International Logic Systems, Inc.

Fairfax, VA • Hybrid

Internship

Posted 12 days ago

Job description

Software Engineering Intern (ILS Team)

Do you enjoy building software in a collaborative, fast-paced environment? Are you excited about solving ambitious technical challenges and creating impactful solutions?

We’re looking for Junior and Senior Computer Science students to join our ILS engineering team as Software Engineering Interns.

Location: Hybrid – 2 days onsite at our headquarters in Fairfax, VA

In this role, you’ll:

  • Collaborate with experienced engineers on real-world software projects
  • Contribute to the design, development, and testing of innovative solutions
  • Work with modern tools and technologies in a supportive team environment

What we’re looking for:

  • Currently pursuing a BS in Computer Science (or related field)
  • Hands-on experience with one or more: Python, C++, Java, or MATLAB
  • Strong problem-solving skills and a willingness to learn
  • Ability to work well in a team setting

Why join us?

  • Work on meaningful, technically challenging projects
  • Learn from a team passionate about engineering excellence
  • Gain real-world experience in a collaborative and innovative environment

As a member of our team you will...

  • Build next-generation solutions to help tackle complex issues.
  • Engage in end-to-end software engineering processes.
  • Be part of high-caliber teams of engineers focused on designing, creating, and fine-tuning simulation platforms that assess and validate the latest algorithms and systems for autonomy.
  • Contribute to multidisciplinary teams, and actively participate in software design evaluations, code reviews, and test strategy planning.

Specifically, we are seeking an Intern that has been focused in the following areas of study and hands-on demonstrated experience to assist the ILS team:

  • Computer Science / Information Technology
  • Artificial Intelligence (AI)
  • Data Science
  • Data Analysis
  • Natural Language Processing
  • Automation Testing (i.e. Selenium)

You meet our minimum qualifications for the job if you...

  • Are working towards a Bachelor of Science in Computer Science, Computer Engineering, or a related technical field.
  • Have classroom experience in or knowledge of software design patterns in either C++, Python, Java, or MATLAB.
  • Have a minimum 3.0 GPA on a 4.0 Scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Have pursued technical projects and extracurricular activities outside of the classroom. Specifically, AI project experience.

You'll go above and beyond our minimum requirements if you...

  • Possess classroom or related experience in working closely with autonomous systems and machine learning algorithms.
  • Have classroom or professional experience in developing with middleware or containerization software tools, such as Data Distribution Service, ZeroMQ, Docker, or Kubernetes.
  • Hold classroom experience in data science and statistical analysis.
  • Have experience in a modern software development environment, such as Agile or Kanban, that includes automated testing (Selenium), continuous integration and deployment, and DevSecOps protocols.

Apply