Data Science Intern
Brunswick, Champaign, IL, United States
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.* Collect, clean, and process data from connected vessels, IoT devices, and cloud platforms.* 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 materialsExplore telemetry, usage, and sensor datasets to identify patterns, trends, and insights that improve user experience and product performance.
* To be considered for the internship, candidates must have 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.*** Demonstratable 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 realworld datasets.* Strong communication skills—able to translate analytical findings into actionable insights.* Experience with cloud analytics environments (Azure, AWS, or GCP).* Exposure to IoT or connectivity data flows.* Knowledge of machinelearning model development or MLOps tools.* Experience with dashboards (Power BI, Tableau) or visualization libraries.* Interest in connected products, digital ecosystems, or recreational technology marketsShould we choose to extend the internship into the fall, there will be no requirements for travel but there will be weekly hour-long check-in meetings with the digital products team. There may be infrequent asks to travel during the semester, likely less than once a month.**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.
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* To be considered for the internship, candidates must have 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.*** Demonstratable 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 realworld datasets.* Strong communication skills—able to translate analytical findings into actionable insights.* Experience with cloud analytics environments (Azure, AWS, or GCP).* Exposure to IoT or connectivity data flows.* Knowledge of machinelearning model development or MLOps tools.* Experience with dashboards (Power BI, Tableau) or visualization libraries.* Interest in connected products, digital ecosystems, or recreational technology marketsShould we choose to extend the internship into the fall, there will be no requirements for travel but there will be weekly hour-long check-in meetings with the digital products team. There may be infrequent asks to travel during the semester, likely less than once a month.**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.
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