Data Science Intern

Brunswick Corporation•Champaign, IL

1d•Onsite

About The Position

Brunswick’s BI-DesignLab (BIDL), a member of the University of Illinois Urbana-Champaign Research Park is seeking a Data Science intern. We are seeking a motivated and detail-oriented Data Science intern with a strong desire to extract high quality insights from data. The intern will work closely with the digital products team from Mercury Marine, a division of Brunswick, to extract business insights and strategies from data. This data will be used in product planning, market analysis, business case development, product line management, and new product development activities. At Brunswick, we have passion for our work and a distinct ability to deliver.

Requirements

Permanent US Work authorization. We are unable to sponsor temporary work visas or accept CPT/OPT authorization for this role.
Current enrollment in a BS in a field related to Data Science, Computer Science, Statistics, Engineering at the University of Illinois Urbana-Champaign.
Demonstrable experience with Python for data analysis (pandas, NumPy, scikitlearn).
Familiarity with exploratory data analysis, statistical methods, and data visualization.
Ability to work with unstructured or imperfect real-world datasets.
Strong communication skills—able to translate analytical findings into actionable insights.

Nice To Haves

Experience with cloud analytics environments (Azure, AWS, or GCP).
Exposure to IoT or connectivity data flows.
Knowledge of machine learning model development or MLOps tools.
Experience with dashboards (Power BI, Tableau) or visualization libraries.
Interest in connected products, digital ecosystems, or recreational technology markets.

Responsibilities

Collect, clean, and process data from connected vessels, IoT devices, and cloud platforms.
Explore telemetry, usage, and sensor datasets to identify patterns, trends, and insights that improve user experience and product performance.
Build analytical models or lightweight machine learning prototypes that support predictive insights, diagnostics, or product recommendations.
Partner with digital products and engineering teams to translate problem statements into concrete analytical tasks.
Assist with developing or refining model pipelines, ensuring data quality and integrity throughout.
Create visualizations, dashboards, or reporting flows that communicate insights clearly to non-technical stakeholders.
Document data sources, modeling assumptions, and analytical approaches.
Support ongoing connectivity initiatives by analyzing system interactions, device behavior, and user telemetry as referenced in connectivity strategy materials.