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Mathematical Modeling Intern Jobs in Seattle, WA

Milliman

Actuarial Intern - EB Consulting

Seattle, WA

  • Medical

  • Life

  • Retirement

  • PTO

Currently pursuing a bachelor's degree in Mathematics, Statistics, Actuarial Science, Economics, or ... and basic modeling). * Must reside within 50 miles of an EBC office location and able to be in ...

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Point72

Quantitative Research Intern

Seattle, WA

Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES * MS, or PhD candidates in finance, computer science, mathematics, physics, or other ...

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Mathematical Modeling Intern information

What does a mathematical modeling intern do?

A Mathematical Modeling Intern assists in developing and implementing mathematical models to solve real-world problems in fields such as engineering, finance, or science. They work with data, analyze trends, and use software tools to simulate scenarios and support decision-making. Interns often collaborate with teams to interpret results and refine models, gaining hands-on experience with quantitative analysis and computational methods.

What are the key skills and qualifications needed to thrive as a mathematical modeling intern, and why are they important?

To thrive as a Mathematical Modeling Intern, you need strong skills in mathematics, statistics, and analytical problem-solving, typically supported by coursework in applied mathematics, engineering, or related fields. Familiarity with programming languages such as Python, MATLAB, or R, and experience with simulation or modeling software are commonly required. Attention to detail, effective communication, and teamwork are important soft skills for translating complex data into actionable insights and collaborating with diverse teams. These competencies are vital for developing accurate models, interpreting results, and contributing effectively to research or business objectives.

What are some typical projects or tasks that a mathematical modeling intern might work on during their internship?

As a Mathematical Modeling Intern, you can expect to work on real-world projects that involve building and analyzing mathematical models to solve business or research challenges. Typical tasks may include collecting and cleaning data, developing algorithms, running simulations, and interpreting results to support decision-making. Often, interns collaborate closely with data scientists, researchers, or engineers, and may be asked to present their findings to both technical and non-technical teams. This hands-on experience not only enhances your technical skills but also provides valuable exposure to interdisciplinary teamwork in a professional setting.
What are the most commonly searched types of Mathematical Modeling jobs in Seattle, WA? The most popular types of Mathematical Modeling jobs in Seattle, WA are:
What are popular job titles related to Mathematical Modeling Intern jobs in Seattle, WA? For Mathematical Modeling Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Intern jobs in Seattle, WA look for? The top searched job categories for Mathematical Modeling Intern jobs in Seattle, WA are:
Mathematical Modeling Intern jobs near you
Infographic showing various Mathematical Modeling Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Graduate/PhD Research Intern, Machine Learning

Constellation Space

Seattle, WA • On-site

$6.0K - $7.0K/mo

Full-time

Re-posted yesterday

Job description

The Role

Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation.

Responsibilities

  • Conduct independent research to design and train novel machine learning architectures.

  • Analyze massive datasets derived from flight telemetry and satellite sensors.

  • Prototyping and testing algorithms in simulated aerospace environments.

  • Publish internal papers and present findings to the core engineering team.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.

  • Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.

  • Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).

  • Ability to work on-site in Seattle for the duration of the internship.