Summer 2027 Intern - Enterprise Reporting & Analytics - Data Science

Momentive
Niskayuna, New York, United StatesPosted Sep 3, 2026
Data Science / MLSummer 2027

About the role

Job Title

Summer 2027 Intern - Enterprise Reporting & Analytics - Data Science

Summary

The Data Science Intern will collaborate with business and IT teams to support data-driven initiatives within the Enterprise Reporting & Analytics (ER&A) team. During the internship, the intern will engage in translating business needs into analytical requirements, contribute to the development and deployment of AI/ML models, and perform exploratory data analysis, statistical testing, and feature engineering to uncover actionable insights.

This role offers hands-on experience with modern data tools and platforms including Snowflake, Tableau, and emerging AI technologies. The intern will also apply programming skills in Python and SQL to manipulate, analyze, and visualize data, helping deliver solutions that support informed decision-making across the organization. Students pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or Engineering will be well-positioned to excel in this role.

Responsibilities Include

Assist in the execution of AI and Machine Learning tasks, using tools such as Snowflake and emerging AI technologies. Assist in the gathering, cleaning and organizing of structured and unstructured data from various sources. Perform exploratory data analysis to identify trends, patterns and anomalies, using Python libraries to help analyze and visualize data. Support the development of predictive models. Applying machine learning techniques to help solve and provide solutions for the business. Work closely with data engineers, analyst and business stakeholders to understand business requirements and project goals.

Qualifications

The following are required for the role

Job Specific Minimum Qualifications

Currently pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Engineering, or a related field. Understanding of the fundamentals of machine

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