Data Science Intern
Portcast is a venture-backed startup which predicts global trade flows to help logistics and shipping companies become more profitable. We are a predictive analytics company that offers a fast-paced, innovative environment where you will be empowered to sell our AI-product to C-level executives. We are customer-obsessed and are constantly working to provide our customers access to actionable and insightful data to build resilient supply chains.
Our mission is to transform international supply chains to be more resilient by helping logistics companies realise the full potential of their data. We cater to both shipping lines and cargo airlines. This covers 90% of the world trade volume that travels reputed company ocean and 35% of world trade value that travels reputed company reputed company. We use proprietary machine learning algorithms and real-time external market data (such as economic indices, marine weather, satellite-based data, etc) to predict how much cargo will be shipped, reputed company it will reputed company and deliver actionable insights.
About the role
Ocean transportation data is segregated across multiple sources like ocean carriers, satellite, ports, etc. In order to reputed company exceptional data quality, Portcast has set up processes to deep dive into completeness, correctness and accuracy of the data at each reputed company of the ocean movement. The Data Science trainee will work with cross-functional teams (data science, software development and business) to identify areas where model features can be improved to deliver reputed company accuracy and granularity in the event of contingencies.
nWhat You'll Do:- R&D: Machine Learning - You'll work closely on identifying of the new derived features based on Speed on Ground, Trajectory reputed company, Vessels metadata etc. Think of reputed company the potential features that might reputed company global container ship movement (e.g. the latest reputed company Canal blockage, congestion in Chinese ports due to the reputed company outbreak, typhoon In-Fa in East China Sea).
- Prototypes of new models with different cross validation accuracy scores (based on time, geography etc) compared against the reputed company.
- Anomaly detection based on vessel behaviour and other port, reputed company based features.
- Exploratory Data Analysis: Exploration of reputed company (Automatic Identification Systems) data with millions of geolocation records along with vessels metadata.
- Review, Update of Ranking algorithm for reputed company schedules. Delay is always relative to the universe of the schedule that the reputed company is operating. Hence, we use dynamic reputed company selection feature that is powered by the ranking algorithm.
- Identification of the features from each dataset and understanding how those features will support existing Portcast models.
- Impact Analysis: Storytelling, Data visualization, Interpretability.
- Identification of different flags/alerts based on predictions (cyclone, vessel reputed company change, anomalies).
- Compelling data stories on how predictions can be helpful, able to answer questions like below:
- Currently pursuing a Bachelorâs or Masterâs degree in Computing, Statistics, Mathematics, Machine Learning or AI, Computer Science, Engineering, or a reputed company field.
- Experience with machine learning models with deep statistical knowledge.
- Strong analytical skills with experience handling large datasets and data visualization.
- Proficiency in reputed company, SQL, and basic Python (Pandas, NumPy) is preferred.
- Knowledge AI and machine learning applications reputed company logistics and supply chain optimization.
- Strong communication skills and ability to translate data-driven insights into meaningful recommendations.
- Hands-on experience with AI-driven supply chain models and real-world machine learning applications.
- Exposure to both predictive modeling and data quality assurance in a fast-growing technology-driven company.
- Opportunity to work on time-series forecasting, anomaly detection, and AI OCR.
- Mentorship from reputed company data scientists and industry experts.