Intern Data Science Intern

Portcast is a venture-backed startup predicting global trade flows for more profitable logistics and shipping companies. We offer a fast-paced, innovative environment where you'll sell our AI product to C-level executives.

What You'll Do:

• R&D: Machine Learning: Identify new features based on Speed on Ground, Trajectory prediction, Vessel metadata. Consider features affecting global container ship movement (e.g., Suez Canal blockage, port congestion, typhoons). Create prototypes with cross-validation accuracy scores compared to benchmarks. Perform anomaly detection based on vessel behavior.
• Exploratory Data Analysis: Explore AIS data (millions of geolocation records and vessel metadata). Review and update ranking algorithm for carrier schedules (delay is relative to schedules). Identify features supporting existing Portcast models.
• Impact Analysis: Develop compelling data stories and visualizations to answer questions like: average delay at a port due to congestion, new ETA if a vessel avoids a canal, impact on CO2 emissions due to detours.

Requirements:

• Bachelor's or Master's degree in Computing, Statistics, Mathematics, Machine Learning, AI, Computer Science, Engineering, or related field
• Experience with machine learning models, deep statistical knowledge
• Strong analytical skills handling large datasets and data visualization
• Proficiency in Excel, SQL, and basic Python (Pandas, NumPy)
• Knowledge of AI and machine learning applications in logistics and supply chain optimization
• Strong communication skills and ability to translate insights into recommendations

What's In It For You:

• Hands-on experience with AI-driven supply chain models
• Exposure to predictive modeling and data quality assurance in a fast-growing company
• Opportunity to work on time-series forecasting, anomaly detection, and AI OCR
• Mentorship from experienced data scientists

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