At a Glance
- Tasks: Develop AI algorithms and analyse geospatial data to drive innovation in maritime exploration.
- Company: Join a pioneering maritime exploration company focused on technology and ocean conservation.
- Benefits: Competitive salary, attractive incentives, and the chance to shape cutting-edge technology.
- Other info: Collaborate with a diverse team of entrepreneurs and technologists in an exciting field.
- Why this job: Make a real impact in a dynamic team while working with advanced data science techniques.
- Qualifications: 2-3 years of experience in data science and strong programming skills in Python.
The predicted salary is between 63000 - 77000 £ per year.
Geospatial Data Scientist
Oceyon AG is a Swiss-based maritime exploration company dedicated to the compliant, technology-driven recovery of high-value underwater assets, while contributing to maritime archaeology and ocean conservation.
We operate at the intersection of history, innovation, and compliance, working with governments, cargo owners, and cultural institutions to ensure every mission is legally and ethically executed.
Role Overview
We are seeking a motivated and talented Geospatial Data Scientist to join our growing technology team.
This role is ideal for a junior data scientist / AI engineer with 2–3 years of experience, a strong technical foundation, and the ambition to contribute to cutting‑edge technology development.
The ideal candidate combines data science expertise, software engineering capability, and a geoscience mindset, enabling them to analyse complex datasets, build AI/ML models, and support the further development of our proprietary algorithms.
This role offers a unique opportunity to shape our technical roadmap and collaborate closely with senior engineers and domain specialists.
Key Responsibilities
- Develop, implement, and maintain AI and machine learning algorithms in collaboration with the tech team.
- Use GIS software (e. g., Arc GIS, QGIS, or similar) to manage, visualize, and analyze spatial data.
- Perform data analysis and data modelling across geoscience, engineering, and operational datasets.
- Process, clean, and structure geospatial datasets and integrate them into analytical workflows.
- Build and optimise data pipelines and preprocessing workflows for geospatial and non‑geospatial data.
- Conduct exploratory data analysis (EDA) to derive insights and support product development.
- Develop prototypes and proof‑of‑concept models for algorithmic innovations.
- Work closely with software engineers to integrate algorithms into production environments.
- Document models, workflows, geospatial analyses, and methodologies.
- Support continuous improvement of our models, geospatial data architecture, and analytical tools.
Qualifications & Profile
- Bachelor’s or master’s degree in computer science, artificial intelligence, data science, geoscience, engineering, or a related technical field.
- 2–3 years of experience in data science, data analytics, or applied AI/ML engineering.
- Strong programming skills in Python, ideally with ML libraries (Num Py, pandas, Sci Kit‑Learn, Tensor Flow, or Py Torch).
- Experience with GIS tools (Arc GIS, QGIS) and geospatial data formats.
- Solid understanding of machine learning, statistics, and data modelling.
- Experience building data pipelines and working with large structured and unstructured datasets.
- Familiarity with geoscience, remote sensing, or industrial/engineering datasets (a strong plus).
- Knowledge of software engineering principles, version control (Git), and model/API deployment.
- Strong analytical mindset and clear communication skills.
What We Offer
- A unique opportunity to shape technology and data science in a pioneering maritime exploration company.
- Direct impact on our technology stack, AI algorithm and data analytics portfolio.
- Dynamic, international team of entrepreneurs, technologists, and explorers.
- Competitive compensation with attractive incentive.
- Seniority level
- Entry level
- Employment type
- Full‑time
- Job function
- Engineering and Information Technology
- Industries
- Technology, Information and Internet
- #J-18808-Ljbffr
Geospatial Data Scientist employer: Oceyon
Oceyon AG is an exceptional employer for aspiring Geospatial Data Scientists, offering a unique opportunity to work at the forefront of maritime exploration and technology. With a dynamic and international team, employees benefit from competitive compensation, attractive incentives, and the chance to directly influence cutting-edge AI and data analytics initiatives. The collaborative work culture fosters professional growth and innovation, making it an ideal environment for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Geospatial Data Scientist
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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!
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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.
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We think you need these skills to ace Geospatial Data Scientist
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.
