Data Science & Machine Learning Intern

Support the development of analytics and predictive models using customer, product, and operational data while gaining hands-on experience with applied data science in a production environment.

Responsibilities

• Assist in developing and evaluating predictive models for customer behavior.
• Support anomaly detection analyses across product, marketing, and financial data.
• Help build forecasting models for transaction volume, revenue, and customer activity.
• Prepare data, engineer features, and test models with senior data scientists and engineers.
• Analyze large datasets to identify trends and optimization opportunities.
• Contribute to dashboards, reports, and internal insight tools.
• Collaborate with product, marketing, and operations teams to define business questions and success metrics.
• Document analyses, assumptions, and results for technical and non-technical audiences.
• Experiment with data science techniques, tools, and models under guidance.

Requirements

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundation in Python, including pandas, NumPy, and scikit-learn.
• Working knowledge of SQL for querying and aggregating data.
• Understanding of statistics, regression, classification, and model evaluation.
• Familiarity with time-series data, forecasting, or anomaly detection concepts.
• Comfort working with messy real-world datasets and learning data-cleaning techniques.
• Strong analytical thinking and curiosity about business impact.
• Good communication skills and willingness to ask questions and learn.

Benefits

• Hands-on experience with production-scale data.
• Exposure to end-to-end data science workflows.
• Opportunity to contribute to product and business decisions.
• Foundation for future roles in Data Science, Machine Learning, or Analytics.