IT Data Science Intern - Summer 2026

Crane Company • Lynnwood, WA

3d • $25 - $30 • Onsite

About The Position

Crane Aerospace and Electronics has an exciting opportunity for an IT Data Science Intern at our Lynnwood, WA location. About Crane: Crane Aerospace & Electronics supplies critical systems and components to the aerospace and defense markets. You’ll find Crane Aerospace & Electronics in some of the toughest environments: from engines to landing gear; from satellites to medical implants and from missiles to unmanned aerial systems (UAS). Located in the epicenter of United States aviation manufacturing, our Crane Aerospace & Electronics Lynnwood, Wash., facility delivers industry-leading aerospace & defense power and fluid solutions. Our products are rugged enough to fly 5 billion miles from Earth on NASA’s New Horizons spacecraft and innovative enough to be featured on Eviation’s Alice all-electric aircraft. You’ll join a group of aerospace professionals committed to engineering excellence and work in a community tucked between the idyllic Puget Sound and Cascade Mountains. Start the next chapter of your career with Crane Aerospace & Electronics! Job Summary: The IT Data Science Intern will partner with Senior Data Architect and our business teams to identify data science opportunities, define functional and non-functional requirements for technology or process solutions, and develop initial data science workflows and processes to achieve a business solution. The candidate should be knowledgeable of a variety of machine learning and other predictive techniques to provide actionable insights while familiar with manipulating, cleaning, and analyzing large datasets. The candidate must be comfortable with ambiguity and able to converse with Data Architect/Business analyst to better understand data and business problems. They must also be trained in one or more programming languages and must have familiarity with software development tools and processes. Crane Aerospace & Electronics Business would like to use machine learning/Artificial Intelligence capabilities of the modern technologies to predict or forecast: Possible late shipments Past dues Impact of supply chain on inventory Customer booking behavior Create a prototype of forecast/prediction machine learning model using data lake for ERP. Research and recommend appropriate machine learning algorithms.

Requirements

• Preferred experience with machine learning platforms and tools such as python/pandas
• Knowledge about Cloud Services, Computation Data warehouse with dimensional modelling
• Strong problem-solving skills with an emphasis on analysis and resolution of complex functional areas and technical issues across teams.
• Actively pursuing a BA or BS degree from a four-year college or university; Minimum accepted GPA of 3.1 on a 4.0 scale
• This position may require access to Controlled Data or Information. Where the position requires such access only US Persons will be considered. As a US Department of Defense contractor, we are bound by International Traffic in Arms Regulations (ITAR).

Responsibilities

• Understand user requirements for how data is used to make decisions. Includes process mapping, optimization, and technology enablement
• Extract data from various data sources; perform exploratory data analysis, cleanse, massage, and aggregate data
• Apply data science training and a systems analysis methodology to help guide solution analysis
• Use statistical and machine learning techniques to build models that explore business solutions
• Help support day to day activities of the data science team’s platforms; this may include creating knowledge base articles, updates to platform manuals and documentation, best practices and guidance, and diagnostics of issues that are raised as well as promoting and advocating for the value of advanced modeling techniques
• Participate in demos and user acceptance reviews while working with the technical team on the creation of design documents and artifacts
• Collaborate with others on the team and business teams to deliver new, innovative solutions to Crane Aerospace & Electronics users
• Interact with data center and infrastructure teams to coordinate technology deployment.

Benefits

• Beyond an associate’s base compensation, we reward and reinforce wellbeing with a compelling package of both cash and non-cash benefits, including comprehensive health, wellness incentives, assistance with retirement savings, paid time off, paid holidays, and tuition reimbursement — as well as performance-based bonus programs for certain positions.
• Crane prioritizes career development for our associates. All associates receive an annual development plan that includes a mixture of on-the-job coaching and formal training experiences to support individual development needs. We firmly believe in associate growth that supports career progression and we will proactively support your ongoing career development.

What This Job Offers

• Career Level: Intern