Machine Learning Product Summer Intern

Project Scope:

• Work with the Data, ML and AI team to support the development and experimentation of machine learning models.
• Collaborate with data scientists, ML engineers, and product managers to explore large-scale retail media datasets.
• Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks.

Deliverables / Milestones:

• Develop and evaluate at least one machine learning model or analytical prototype using Pacvue datasets.
• Produce exploratory data analysis and insights that support model development or product decisions.
• Present project outcomes and recommendations to the Data, ML and AI team and relevant product stakeholders at the end of the internship.

Learning Objectives:

• Gain hands-on experience applying machine learning techniques to large-scale real-world commerce and retail media datasets.
• Learn how data, ML models, and AI capabilities are integrated into production SaaS platforms.
• Develop practical skills in Python-based data analysis and machine learning tools such as Pandas, SQL, and ML frameworks.