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Open nowPosted 3 hours agoWe saw it 96 min after it went up

Data Analyst - AI

Nexus Marine

Where
London, England, United Kingdom
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Your applicationOpen nowData Analyst - AINexus Marine · London, England, United Kingdom

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 3 hours ago

The posting

We're looking for an AI-native engineer & data scientist to work at the intersection of engineering, AI and the physical world. Your work won't sit in a file somewhere - instead it will directly drive when and where we move some of the largest ships on the ocean, with real P&L impact.

What you'll do

  • Build AI harnesses with real P&L impact, automating the workflows involved in operating large ships
  • Build statistical models to optimise vessel positioning using vessel tracking data
  • Find correlations with FFAs and turn them into real trading signals
  • Value contract optionality and build our vessel valuation model
  • See your ideas productionised fast with no long queues or layers of management required for sign-off

Requirements

  • A degree from a top university (e.g. Imperial, Oxbridge, IIT) in computer science, data science, statistics, maths or similar, with solid statistics or quantitative modules
  • Strong in Python
  • AI-native: you already use AI tools to work faster and think bigger
  • Graduates welcome
  • No shipping experience needed, we'll teach you the industry

Benefits

  • Tangible impact: working directly with the founders in a small team, your output literally drives when and where we move our vessels
  • A real-world business: we charter in and sail ships (each about 80,000 tonnes) carrying grain, metals, raw materials and energy - we're not just another SaaS company!
  • Help build the shipping company of the future, with AI at its core
  • Backed by some of Europe's leading VCs
  • Raw talent valued over industry experience
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