Description:

Portcast is a venture-backed startup that predicts global trade flows to assist logistics and shipping companies in becoming more profitable.
The company operates in a fast-paced, innovative environment focused on providing actionable and insightful data to build resilient supply chains.
The Data Science Intern will work with cross-functional teams to improve model features for better accuracy and granularity in data related to ocean transportation.
Responsibilities include identifying new derived features, prototyping models, conducting anomaly detection, and performing exploratory data analysis on AIS data.
The intern will also review and update ranking algorithms for carrier schedules and conduct impact analysis through data visualization and storytelling.
The role involves identifying flags/alerts based on predictions and creating compelling data stories to answer critical questions regarding shipping delays and environmental impacts.

Requirements:

Candidates must be currently pursuing a Bachelor’s or Master’s degree in Computing, Statistics, Mathematics, Machine Learning or AI, Computer Science, Engineering, or a related field.
Experience with machine learning models and a strong statistical background are required.
Strong analytical skills and experience with large datasets and data visualization are essential.
Proficiency in Excel, SQL, and basic Python (Pandas, NumPy) is preferred.
Knowledge of AI and machine learning applications in logistics and supply chain optimization is necessary.
Strong communication skills are required to translate data-driven insights into meaningful recommendations.

Interns will gain hands-on experience with AI-driven supply chain models and real-world machine learning applications.
The position offers exposure to predictive modeling and data quality assurance in a rapidly growing technology-driven company.
Interns will have the opportunity to work on time-series forecasting, anomaly detection, and AI OCR.
Mentorship from experienced data scientists and industry experts will be provided to enhance learning and professional development.