Geospatial Data Scientist

Oceyon; Greater London; On-site; GBP 35,000 - 45,000; Full time

Benefits offered by this job

Competitive compensation

Impact on technology and data science

Job summary

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, and collaborate closely with engineers to drive innovation. Competitive compensation and impact on the technological roadmap are offered.

Qualifications

• 2–3 years of experience in data science, data analytics, or applied AI/ML engineering.
• Experience building data pipelines and working with large structured and unstructured datasets.
• Strong analytical mindset and clear communication skills.

Responsibilities

• Develop, implement, and maintain AI and machine learning algorithms.
• Analyze and visualize spatial data using GIS software.
• Build and optimize data pipelines for geospatial and non-geospatial data.

Skills

Python programming

Machine learning libraries (NumPy, pandas, SciKit-Learn, TensorFlow, PyTorch)

GIS tools (ArcGIS, QGIS)

Data analysis

Data modeling

Education

Bachelor's or master's degree in computer science, AI, data science, geoscience, or engineering

Tools

ArcGIS

QGIS

Job description

Geospatial Data Scientist

Location: Greater London, England, United Kingdom

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., ArcGIS, 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 (NumPy, pandas, SciKit‑Learn, TensorFlow, or PyTorch).
• Experience with GIS tools (ArcGIS, 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