Geospatial AI Engineer β€” Shape Maritime Tech & Data

Geospatial AI Engineer β€” Shape Maritime Tech & Data

Full-Time 28800 - 48000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Develop AI algorithms and analyse geospatial data using GIS tools.
  • Company: Innovative maritime exploration company based in Switzerland.
  • Benefits: Competitive compensation and the chance to shape technology.
  • Other info: Collaborative environment with opportunities for innovation.
  • Why this job: Join a tech team and make a real impact in maritime exploration.
  • Qualifications: 2-3 years of experience in data science and software engineering.

The predicted salary is between 28800 - 48000 Β£ per year.

A maritime exploration company based in Switzerland is searching for a motivated Geospatial Data Scientist to join their technology team. This entry-level role is perfect for individuals with 2–3 years of experience and a solid foundation in data science and software engineering.

The successful candidate will:

  • Develop and maintain AI algorithms
  • Analyze geospatial data using GIS tools like ArcGIS and QGIS
  • Collaborate closely with engineers to drive innovation

Competitive compensation and impact on the technological roadmap are offered.

Geospatial AI Engineer β€” Shape Maritime Tech & Data employer: Oceyon

Join a pioneering maritime exploration company in Switzerland, where innovation meets opportunity. As a Geospatial AI Engineer, you'll thrive in a collaborative work culture that values creativity and professional growth, offering competitive compensation and the chance to make a significant impact on cutting-edge technology. With access to advanced GIS tools and a supportive team environment, this role is ideal for those looking to advance their career in a meaningful and rewarding way.

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Contact Details:

Oceyon Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Geospatial AI Engineer β€” Shape Maritime Tech & Data

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oceyon!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Geospatial AI Engineer β€” Shape Maritime Tech & Data at Oceyon.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oceyon.

✨Apply Directly through Our Website

When you find a suitable opening like Geospatial AI Engineer β€” Shape Maritime Tech & Data at Oceyon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Geospatial AI Engineer β€” Shape Maritime Tech & Data

Geospatial Data Analysis
AI Algorithm Development
GIS Tools (ArcGIS, QGIS)
Software Engineering
Collaboration Skills
Innovation Drive
Data Science Fundamentals

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Oceyon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oceyon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Oceyon

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oceyon!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.