Data Scientist

Who We Are:

Veson Nautical is a global software and data business that provides the maritime commercial industry with a standard platform to streamline operations, offer insightful analytics, and drive unparalleled efficiency.

In this role, you will be working in Veson Nautical’s Data Science team. This is a group of experts in data science, artificial intelligence, and other quantitative disciplines, drawn from industry and academia. Its role is to transform Veson Nautical’s rich data assets into actionable intelligence.

The Data Science team plays a vital role in driving innovation through research and development of data‑driven products. Working closely with product managers, software engineers, and clients, our data scientists understand commercial needs and align their research to solve high‑value problems. The team’s fundamental mission is to extract insights from data to support maritime commercial decisions.

The Data Science team writes applications mostly in Python, with some TypeScript and JavaScript as required. We deploy services primarily to AWS EKS via ECR and GitLab CI/CD. We commonly use SQL and GQL to access data from internal systems. We have access to cutting‑edge AI tools.

This role is hybrid, with 2–3 days per week in either our London or Stoke‑on‑Trent office.

• 
  
• Collaborate with product managers, software engineers, commercial teams, and clients to understand product requirements and translate them into relevant R&D.
  
• Design and develop robust data pipelines, ensuring the efficient collection, transformation, analysis, and derivation of maritime data from various sources.
  
• Apply the scientific method to measure and maximize the performance of the model, algorithm, or application being developed.
  
• Use programming languages, especially Python, to build statistical models and algorithms for predictive and prescriptive analytics.
  
• Create and deploy production‑ready data processing pipelines, algorithms, and applications.
  

• 
  
• EITHER proven commercial experience in data science (to include machine learning and artificial intelligence applications).
  
• OR a doctoral degree in data science or other highly quantitative discipline such as mathematics, physics, biosciences, computer science, engineering.
  
• Strong programming skills in Python or other languages commonly used for data analysis and mathematical modelling (such as R, MATLAB, C and its derivatives).
  
• Knowledge of the principles and practice of statistical analysis and machine learning.
  
• Experience of data visualization and reporting.
  

• 
  
• Use of Application Programming Interfaces (APIs) for data retrieval and delivery.
  

We are building a diverse and inclusive workforce. If you are excited about this role but do not meet 100% of the qualifications listed above, we encourage you to apply. While we try to be thorough with our job descriptions, not everything about you as a candidate can be condensed into a list of bullet points.

We are a team of multi‑disciplinary professionals dedicated to making our clients successful by charting a new and innovative course for the maritime commercial industry. We invest heavily in employee development and experience to promote enthusiasm and creativity. We are a dynamic blend of engineers, scientists, artists, sailors, teachers, brokers, bankers, traders, and consultants.

Veson Nautical is a successful and rapidly growing global software company. Our clients are the world’s leading commercial maritime owners, operators, and commodity trading companies. Our solutions enable clients to identify new opportunities and make more profitable decisions. With headquarters in Boston and offices in London, Singapore, Seoul, Shanghai, Hong Kong, Oslo, Manila, Tokyo, Houston and many others, our committed team of professionals brings decades of commercial experience and technical know‑how to clients around the world.

The combination of exceptional market growth and leading market position makes this a superb opportunity for the right candidate.

#LI-Hybrid