Marketing Graduate AI & Data Intern

What you'll do

• Develop and deploy machine learning models at scale to optimize customer experience.
• Perform data wrangling, exploratory data analysis, and statistical modeling using Python and SQL.
• Build and maintain pipelines for processing petabyte-scale datasets.
• Deliver automated predictions and recommendations for marketing and sales stakeholders.
• Implement software engineering practices to integrate AI into marketing workflows.
• Manage machine learning operations (MLOps) including containerization and deployment tools.
• Develop new methodologies, tools, and statistical methods for large-scale data analysis.

What we're looking for

• Candidates must be pursuing a Master’s degree in a quantitative or computational field (preferred).
• Graduation date should be December 2027 or Spring 2028 (preferred).
• Data Science roles require experience in Python and SQL for data wrangling, exploratory analysis, and statistical modeling.
• Data Engineering roles require experience with SQL, Python, relational databases, JSON, and basic knowledge of data modeling.
• ML Engineering roles require experience in Python, Java, or C++, plus knowledge of APIs and distributed processing.
• MLOps roles require experience with Python, C, or Java, container engines like Docker/Podman, and Linux distributions.
• Experience with Apache Spark is a plus (preferred).
• Exposure to DevOps/MLOps tools such as Jenkins, Azure DevOps, or MLflow is a plus (preferred).