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Champaign, IL

Internship

Hybrid

$18/hr - $26/hr

Intern

Brunswick Corporation is a global marine leader committed to innovating next-generation technologies that transform experiences on the water and beyond. The Data Science Intern will support data science, analytics, research, and engineering projects by analyzing diverse data, developing experiments and prototypes, and communicating technical findings and recommendations.

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Responsibilities

Contribute to a variety of data science, analytics, research, and engineering projects based on evolving product and business needs
Translate ambiguous questions into measurable objectives, testable hypotheses, experiments, and practical implementation plans
Collect, clean, join, validate, and explore data from connected products, applications, cloud platforms, and operational systems
Analyze structured, unstructured, time-series, telemetry, usage, and sensor data to identify patterns, anomalies, trends, and opportunities
Develop reusable scripts, data-processing workflows, simulations, and prototypes that move an idea from analysis toward a working technical solution
Design experiments to compare alternative approaches and quantify trade-offs involving data fidelity, accuracy, performance, cost, storage, bandwidth, latency, and maintainability
Explore efficient methods for collecting and processing high-volume or resource-intensive data, including sampling, aggregation, filtering, compression, feature extraction, or event-driven approaches
Apply appropriate statistical, signal-processing, analytical, or machine-learning methods while considering the constraints of the systems in which they may be used
Partner with product, software, engineering, operations, and business teams across multiple divisions to develop useful and achievable deliverables
Test, document, and communicate datasets, code, assumptions, experimental results, limitations, and recommendations so others can reproduce and extend the work

Qualification

Required

Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future
To be considered for the internship, candidates must be authorized to work in the United States immediately, without the need for sponsorship, now or in the future
Currently enrolled in a bachelor's or master's program at the University of Illinois-Urbana Champaign in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or related fields
Demonstrated experience using Python for data analysis, experimentation, or prototyping, including tools such as Polars and NumPy
Ability to write clear, modular, and testable code and to turn analytical ideas into working scripts or prototypes
Working knowledge of statistics, experimental design, exploratory data analysis, data visualization, and evaluating whether results preserve the information needed for a given use case
Ability to analyze noisy, incomplete, or high-volume real-world data and assess the quality, representativeness, and practical usefulness of results
Strong problem-solving skills and willingness to learn new tools, domains, and technical concepts as project needs change
Strong written and verbal communication skills, including the ability to explain analytical findings and technical trade-offs clearly

Preferred

Experience analyzing time-series, sensors, telemetry, or other streaming data
Familiarity with sampling theory or methods, signal processing, anomaly detection, data compression, feature extraction, or edge computing
Experience building data-processing pipelines or prototypes using Python and SQL, with attention to data quality, reproducibility, and performance
Familiarity with software engineering practices such as source control, code review, testing, debugging, and modular design
Experience with cloud data or analytics environments such as Azure, AWS, or GCP
Exposure to IoT systems, data acquisition, connectivity data flows, embedded systems, or resource-constrained devices
Interest in connected products, digital ecosystems, manufacturing, recreational products, or applying data science across varied business domains

Benefits

Hybrid workplace arrangement
Hands-on experience in a professional setting alongside experienced professionals
Supportive, collaborative work environment conducive to learning
Feedback and performance reviews throughout the assignment
Professional development through managing schedules, setting goals, and seeking feedback
Growth opportunities within and across Brunswick’s many brands

Brunswick is a global leader in marine recreation, delivering innovation that transforms experiences on the water and beyond.

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