Job Title:

Summer 2026 Enterprise Reporting & Analytics – Data Science Intern

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.

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.

• Completes other duties as assigned

Qualifications:

The following are required for the role

• 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 learning, generative AI, multi-modal data analysis, supervised vs. unsupervised learning, model evaluation, data mining, and predictive modeling, with exposure to applying these methods to real-world problems

• Apply predictive analytics and statistical modeling techniques to uncover trends, forecast outcomes, and support data-driven decision-making across business functions.

• Experience developing and implementing ML/AI models using programming language.

• Basic proficiency in Python and SQL for data analytics and machine learning

• Ability to work in a team environment, effectively interacting with others.

• Conceptual and analytical thinker – ability to extract, analyze and document complex business and technical requirements/strategies from business and IT team members.  

Program Minimum Qualifications:

• The candidate must be actively enrolled in an undergraduate or graduate program at the time of application and for at least one semester following the conclusion of the internship.

• The candidate is expected to be available 40 hours a week for a period of 10-12 weeks between the months of May and August.

What We Offer:

Base Pay Range: $22.00 - $26.00

The base salary offered is determined by factors including but not limited to education, experience, skill sets, and geography. If you are interested in this position, we’d ask that you apply! #BePartoftheSolution

At Momentive, we value your well-being and offer competitive total rewards and development programs. Our inclusive culture fosters a strong sense of belonging and provides diverse career opportunities to help you unleash your full potential. Together, through innovative problem-solving and collaboration, we strive to create sustainable solutions that make a meaningful impact. Join our Momentive team to open a bright future.

Refer to the Hiring Process tab on our Careers page for a detailed description on the physical job requirements.

About Us:

Momentive is a premier global advanced materials company with a cutting-edge focus on silicones and specialty products. We deliver solutions designed to help propel our customer’s products forward—products that have a profound impact on all aspects of life, around the clock and from living rooms to outer space. With every innovation, Mome