Are you ready for what's next? Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests ," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.
Location: Champaign, IL (BI Design Lab)Workplace Category: Hybrid Travel Required: NonePay Range: $18.00-$26.00 This position is not eligible for employment visa sponsorship now or in the future.
Relocation:Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality:Position Overview: As part of the talented team, we are seeking a curious, versatile, and hands-on Data Science Intern who is comfortable contributing to different types of projects as organizational priorities evolve. Working with teams across Brunswick's divisions and functions, the intern will combine scientific thinking with practical engineering to turn open-ended questions into structured analyses, experiments, and working prototypes. Projects may involve product, application, operational, telemetry, or other business data, with an emphasis on understanding data quality, extracting useful information, and designing efficient approaches for collecting, processing, and using data. The ideal candidate can learn unfamiliar domains quickly, evaluate technical trade-offs, write reliable code, and clearly communicate findings, limitations, and recommendations.
At Brunswick, we have passion for our work and a distinct ability to deliver. Essential Functions:
- 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.
Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.Required Qualifications: - 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 Qualifications: - 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 Google Cloud Platform.
- 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
Working Conditions:- Learning Opportunities: Our internships are designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
- Project Work: The work environment is supportive, collaborative, and conducive to learning. Interns typically work on specific projects or tasks that contribute to the organization's goals. This may range from supporting larger projects to handling smaller, individual assignments.
- Hours: Interns must work at least 8 hours in person at the lab each week during the fall and spring terms. You may work up to 20 hours maximum. During summer, interns are expected to work 40 hours in person at the lab each week.
- Feedback and Performance Reviews: As an intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement.
- Responsibility: Interns at BI Design Lab are expected to manage their own schedules, set goals, and seek feedback for their professional development.
The pay range for this position is $18.00 - $26.00 per hour. The actual hourly rate offered will vary depending on multiple factors including year in school/credits earned, degree, job-related knowledge/skills, relevant experience, business needs, and geographic location.
At Brunswick, it is not typical for an individual to be hired at or near the top end of the salary range for their role. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.
Why Brunswick: Whatever tomorrow brings, we'll be at the leading edge. As the clear leader in the marine industry, we're committed to our values and supporting our exceptional people. We offer and encourage growth opportunities within and across our many brands. In addition, we're proud of being recognized for making a splash with numerous awards!
Next is Now!
We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact for support.
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