Summer 2027 Data Science & Analytics Intern

Momentive

Town of Niskayuna (NY)

On-site

USD 11,000 - 12,000

Full time

14 days+

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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.

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