Data Scientist

Data Scientist

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform data into actionable insights and drive innovation in maritime operations.
  • Company: Veson Nautical, a global leader in maritime software and data solutions.
  • Benefits: Hybrid work model, competitive salary, and access to cutting-edge AI tools.
  • Why this job: Join a dynamic team and make a real impact on the maritime industry.
  • Qualifications: Experience in data science, Python programming, and strong collaboration skills.
  • Other info: Work in a vibrant environment with opportunities for professional growth.

The predicted salary is between 36000 - 60000 £ per year.

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 Opportunity: 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.

Our Stack: 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.

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

Key Responsibilities:

  • Collaborate with product managers, software engineers, commercial teams, and clients to understand product requirements and translate them into relevant R

Data Scientist employer: Veson Nautical

Veson Nautical is an exceptional employer that fosters a collaborative and innovative work culture, where data scientists are empowered to drive meaningful change in the maritime industry. With access to cutting-edge AI tools and a commitment to employee growth through continuous learning opportunities, our hybrid work model allows for flexibility while working in vibrant London or Stoke-on-Trent offices. Join us to be part of a team that values your expertise and encourages you to transform data into actionable insights.
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Contact Detail:

Veson Nautical Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Veson Nautical. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python or AI tools. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss how you’ve tackled real-world problems in the past.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Veson Nautical team.

We think you need these skills to ace Data Scientist

Data Science
Artificial Intelligence
Python
TypeScript
JavaScript
AWS EKS
ECR
GitLab CI/CD
SQL
GQL
Collaboration Skills
Problem-Solving Skills
Research and Development
Data Analysis
Commercial Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your data science skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Veson Nautical. Let us know what excites you about the opportunity!

Showcase Your Projects: If you've worked on any data-driven projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share links to your GitHub or any relevant portfolios!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out on this opportunity!

How to prepare for a job interview at Veson Nautical

✨Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially in Python, SQL, and any relevant AI tools. Be ready to discuss your past projects and how you've used these skills to solve real-world problems.

✨Understand the Company and Its Needs

Research Veson Nautical and its role in the maritime industry. Understand their products and how data science can drive innovation for them. This will help you tailor your answers to show how you can add value to their team.

✨Prepare for Technical Questions

Expect technical questions that may involve coding challenges or problem-solving scenarios. Practice common data science interview questions and be prepared to explain your thought process clearly and logically.

✨Show Your Collaborative Spirit

Since the role involves working closely with product managers and software engineers, be ready to discuss your experience in teamwork. Share examples of how you've collaborated on projects and how you handle feedback and differing opinions.

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