Summer 2027 Data Science & Analytics Intern

Momentive; Town of Niskayuna (NY); On-site; USD 14,547,000 - 17,192,000; Full time

Job summary

Momentive is offering a Summer 2027 Intern – Enterprise Reporting & Analytics – Data Science. The role collaborates with business and IT teams to translate needs, develop and deploy AI/ML models, and perform exploratory data analysis using Python and SQL.

You'll gain hands-on experience with Snowflake, Tableau, and emerging AI technologies, helping deliver data-driven solutions across the organization during a 10–12 week, 40-hour-per-week program.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or Engineering.
• Exposure to applying ML/AI methods to real-world problems.
• Basic proficiency in Python and SQL for data analytics and machine learning.
• Ability to work in a team environment and communicate requirements clearly.

Responsibilities

• Assist in executing AI and ML tasks using Snowflake and emerging AI technologies.
• Assist in gathering, cleaning, and organizing structured and unstructured data.
• Perform exploratory data analysis to identify trends using Python libraries.
• Support development of predictive models.
• Apply ML techniques to solve business problems and provide insights.
• Collaborate with data engineers, analysts and stakeholders to understand requirements and goals.

Skills

Python

SQL

ML/AI models

Data analysis

Team collaboration

Education

Bachelor's or Master's in Data Science/Analytics/CS/Statistics/Math/Engineering

Tools

Snowflake

Tableau

Job description

Momentive is offering a Summer 2027 Intern – Enterprise Reporting & Analytics – Data Science. The role collaborates with business and IT teams to translate needs, develop and deploy AI/ML models, and perform exploratory data analysis using Python and SQL.

You'll gain hands-on experience with Snowflake, Tableau, and emerging AI technologies, helping deliver data-driven solutions across the organization during a 10–12 week, 40-hour-per-week program.