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- Tasks: Design data pipelines and apply machine learning to maritime data for insightful solutions.
- Company: Global software and data company with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make waves in maritime analytics with cutting-edge technology.
- Qualifications: Strong Python skills and experience in statistical analysis required.
- Other info: Collaborate with product managers and engineers in a vibrant work environment.
The predicted salary is between 36000 - 60000 £ per year.
A global software and data company is seeking a Data Scientist to join its team. In this hybrid role based in either London or Stoke-on-Trent, you will collaborate with product managers and engineers. You will design data pipelines and apply machine learning techniques to drive insights from maritime data.
The ideal candidate has strong skills in Python and experience in statistical analysis. Join a dynamic team and help innovate maritime commercial solutions.
Maritime Data Scientist: AI, Pipelines & Analytics (Hybrid) in London employer: Veson Nautical
Contact Detail:
Veson Nautical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maritime Data Scientist: AI, Pipelines & Analytics (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the maritime and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. 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 soft skills. Practice common data science interview questions and be ready to discuss how you've applied statistical analysis in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our dynamic team.
We think you need these skills to ace Maritime Data Scientist: AI, Pipelines & Analytics (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and statistical analysis. We want to see how your skills align with the maritime data focus, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role and how your background in data science can contribute to our innovative maritime solutions. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any data pipelines or machine learning projects, include them in your application. We love seeing real-world applications of your skills, so share links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Veson Nautical
✨Know Your Data
Make sure you brush up on your knowledge of maritime data and analytics. Familiarise yourself with the specific challenges in the maritime industry and think about how your skills in Python and statistical analysis can address these. Being able to discuss relevant case studies or examples will show your passion and expertise.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and any machine learning techniques you've used. You might be asked to solve a problem on the spot, so practice coding challenges related to data pipelines and analytics. This will help you feel more confident and ready to impress.
✨Collaborative Mindset
Since this role involves working closely with product managers and engineers, be ready to discuss your experience in collaborative projects. Think of examples where you’ve successfully worked in a team to deliver data-driven solutions. Highlighting your communication skills will be key!
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current projects or future goals in maritime data science. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative solutions. Plus, it makes for a great conversation starter!
