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Shipamax (YC W17)

NLP Data Scientist at Shipamax (YC W17)

London · Full Time

We're a vertically focused, B2B enterprise solution - focused on bulk shipping (different to container shipping!). Backed by Y Combinator, Cherubic Ventures, AME Cloud & Founders Fund.

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Job Description

We're experiencing increasing demand from our current large customers & prospective customers, meaning we are now looking to build out our NLP / Data Science team. This role will help us improve our existing NLP product as well as help us build a few exciting new products. You’ll be working alongside a PhD in Computer Science who has extensive experience in AI and NLP, including multiple peer reviewed papers and published work.

Today’s product is built using proprietary data that no one else has access to. The volume of data received in any given minute is incredibly high - providing interesting infrastructure challenges. This includes hundreds of thousands of emails a day with data that has to be instantly pulled, processed and made accessible to customers within less than a second.

The focused nature of our work means we already have a product that works - large enterprises pay for and depend on Shipamax’s email parsing product for day to day decision making. You’ll be working in a cutting-edge area of development that already is commercially proven.

We are looking for an experienced NLP Data Scientist to join our company, which utilises NLP solutions to revolutionise our industry. You should have a keen interest in building, deploying & supporting text processing services that extract and interpret information from emails, messages and other sources. This is a highly technical role and an excellent academic background is required.

About you
- You should have a degree in computer science, or strong experience (3+ years) in NLP research
- Work experience of 2-7 years
- You should feel comfortable developing, reviewing and deploying Python or Java code
- Experience with NLP technologies & the handling of unstructured text
- Expertise in at least 2 of the following: Named-Entity Recognition, Information Retrieval, Automatic Schema Mapping or Document Classification
- Strong understanding of text pre-processing, post-processing and normalisation techniques, such as tokenisation, POS tagging and parsing and how they work at a low level
- Excited about working in a maritime/logistics startup

Bonus skills

- C++
Experience in bulk shipping not necessary :)

Start date: as soon as possible, but we are ready to wait for the right candidate.

This is a full-time position based in Angel, London. Please apply to come and meet our team, hear about the projects we’ll be working on next and see if there is a fit.

Unfortunately we are unable to sponsor work visas at this time.

We do not work with recruiters or outsourcing companies.

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What We're Building

We are one of the few London-based startups backed by Y Combinator. We’ve just closed an exciting 2.5 million USD seed round - from Cherubic, AME Cloud and Founders Fund.

We’re creating the platform of the future for global commodity movement.

Currently, when booking a ship, there is an overwhelming amount of information that needs to be pieced together and a multitude of different stakeholders that needs to be kept in a tight communication loop. Our intelligent layer helps commercial employees focus on increasing revenue. We replace the thousands of unnecessary emails, excel files and instant messages between players required for each booking.

We’re a vertical B2B enterprise startup working with family-owned shipowners to some of the largest global players to transform the way they work as a team. Bulk shipping, an entirely different market to container shipping, is the unknown giant of the logistics sector.

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