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 via ocean and 35% of world trade value that travels via air. 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, when it will arrive and deliver actionable insights.
We are excited to be a fast-growing team of software engineers, data scientists and industry experts. Based out of Singapore, we’ve been building together since 2018, and are backed by some of the leading investors including Wavemaker Partners, Entrepreneur First, SGInnovate and Investigate VC.
About the role
Portcast is redefining how the worlds’ largest cargo airlines, shipping lines, forwarders and shippers run global operations. You will join the data science team at Portcast and work on a demand forecasting product which is a data heavy platform with an emphasis on enterprise time series forecast. The engine that we’ve built helps logistics asset owners improve their capacity utilization, optimise their price and return on investments. We forecast 100k+ time series on a weekly basis that consists of more than 25 million predictions. Our forecasts answer questions like the following:
What is the most profitable way of allocating a 20,000 TEU container ship?
What would pre-holiday demand surge look like during Chinese New Year next year?
What is the expected impact on utilisation if you increase the price by 10%?
Become superuser of the product, create dashboards, insights for the team and clients.
Improve forecast quality by checking the completeness, correctness, accuracy and other data challenges
Uncover the intricate patterns hidden underneath large data sets to derive actionable insights. Automate processes.
Work with the team to continuously identify the best external data sources that help improve the existing models
Create new prototypes of forecasting models
Present the work, results to the team and the clients regularly in a visual and easy to understand manner
Proficient with Python
Prior experience in data visualisation