Senior Geospatial Data Scientist in London

Senior Geospatial Data Scientist in London

London Full-Time 59400 - 72600 £ / year (est.) On-site
SynMax

At a Glance

  • Tasks: Develop geospatial models to detect vessel behaviour using satellite imagery and data analysis.
  • Company: Join SynMax, a cutting-edge geospatial intelligence company transforming maritime and energy sectors.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Collaborative team environment with excellent career advancement opportunities.
  • Why this job: Make a real impact in maritime domain awareness with innovative technology and data science.
  • Qualifications: Strong background in geospatial data science and experience with Python and machine learning.

The predicted salary is between 59400 - 72600 £ per year.

About Syn Max, Inc.

Syn Max is a geospatial intelligence company.

We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains.

About Syn Max, Inc.

Syn Max is a geospatial intelligence company.

We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains.

Our product suite: Theia, Hyperion, Vulcan and Leviaton - is used by commercial energy traders, financial institutions, government agencies, and defense and intelligence organizations.

Founded in 2021, we are around 130 people across Houston, London and Washington, D. C.

About The Role

The Senior Geospatial Data Scientist sits within Theia's data science team, working on the models and pipelines that turn satellite imagery and vessel-tracking data into a verified picture of activity.

Day to day, that means fusing optical and SAR imagery with AIS and other data sources and building the detection and prediction models behind capabilities like dark vessel detection, AIS spoofing, ship-to-ship transfers, and vessel attribution.

You'll take work from prototype through to production on GCP alongside engineering, and you'll be expected to explain your reasoning clearly.

What You'll Do

  • Develop and improve geospatial models and pipelines that fuse AIS data with optical and SAR satellite imagery to detect vessel behavior, anomalies, and deceptive activity at sea.
  • Apply computer vision techniques to satellite imagery for vessel detection, classification, and attribution.
  • Work with large-scale geospatial and time-series datasets (AIS tracks, imagery, vessel metadata) to build and validate detection and prediction models.
  • Take models from prototype through to production, working with engineering to deploy on GCP.
  • Investigate new data sources and methods to close gaps in maritime domain awareness.
  • Communicate findings and model behavior clearly to both technical and non-technical stakeholders, including customers.
  • Collaborate closely with the wider Theia data science and engineering teams on shared infrastructure, data pipelines, and tooling.

What We're Looking For

  • What We're Looking For
  • Strong geospatial data science background, with demonstrated experience working with spatial data, coordinate systems, and geospatial analysis techniques.
  • Experience working with earth observation data, e. g. electro-optical or synthetic aperture radar (SAR).
  • Some computer vision experience (e. g., object detection/classification applied to imagery).
  • Strong Python skills and practical experience with the machine learning lifecycle: predictive modeling, classification, evaluation, and iteration.
  • Comfortable working independently, thinking through ambiguous problems, and explaining your reasoning and approach to others.
  • Nice to Have
  • Experience working with AIS (vessel-tracking) data - desirable, but not a deal-breaker if the rest of your background is strong.
  • Familiarity with GCP (Big Query, Vertex AI) or equivalent cloud data platforms.
  • Experience with geospatial tooling and libraries (e. g., QGIS, GDAL, Geo Pandas).
  • Experience with Py Torch, scikit-learn, or similar ML frameworks.
  • Background in maritime, defense, intelligence, or energy domains.

Senior Geospatial Data Scientist in London employer: SynMax

At SynMax, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the heart of Washington, D.C., we offer competitive benefits, professional development opportunities, and a collaborative environment where your contributions directly impact our success in the tech and government contracting sectors. Join us to be part of a forward-thinking team that values innovation and integrity.

SynMax

Contact Details:

SynMax Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Geospatial Data Scientist in London

✨Dive into Geoscience Communities

Join local and online geoscience communities and forums. Places like the Geological Society of London often have events where you can network with professionals in the field. Engaging in discussions or attending workshops can really get you noticed!

✨Show Off Your Fieldwork Skills

If you've got hands-on experience from university projects or internships, make sure to highlight that. Employers in geoscience love practical skills. Consider creating a portfolio showcasing your fieldwork or any research projects you’ve been a part of.

✨Utilise Research Publications

Stay up to date with the latest research in geosciences by diving into journals or attending conferences. Not only will this make you more knowledgeable, but it can also provide talking points in interviews and even lead to job opportunities through academic connections.

✨Apply Directly on Our Website!

When you find a role like Senior Geospatial Data Scientist at SynMax, apply directly on our website! Tailor your application to highlight your specific skills and experiences in geoscience. Remember, being specific can really set you apart!

We think you need these skills to ace Senior Geospatial Data Scientist in London

Geospatial Data Science
Spatial Data Analysis
Coordinate Systems
Geospatial Analysis Techniques
Earth Observation Data
Synthetic Aperture Radar (SAR)
Computer Vision

Some tips for your application 🫡

Show Off Your Skills in Geoscience:When you're drafting your CV, make sure to highlight specific geoscience skills and experiences. Whether it’s fieldwork, data analysis, or modelling software you’ve used, these details can set you apart. We love to see practical experience, so don't shy away from discussing any projects or research that relate directly to the earth sciences!

Tailor Your Cover Letter to Shine:Your cover letter for a full-time geoscience position should scream passion for the field! Let us know why you're excited about working at SynMax and how your skills align with what we're looking for. Mention any relevant coursework, internships, or projects that showcase your journey in geoscience.

Certifications Matter!:In the geoscience sector, having relevant certifications can give your application an extra edge. If you have any geological or environmental certifications, or even training in software like GIS, make sure to list them prominently. It not only highlights your commitment but also shows that you're equipped with the knowledge required for the role.

Detailed Project Portfolio:For a full-time role, it's super helpful to include a project portfolio if you've worked on significant geoscience projects. This could include research papers, fieldwork summaries, or even visual data representations. We love seeing how you've applied your skills in real-world situations, so make it easy for us to see your achievements!

How to prepare for a job interview at SynMax

✨Show Your Technical Prowess

In geoscience, you'll likely face some technical questions related to geology, geophysics, or GIS tools. Brush up on the fundamental concepts and be prepared to talk about any software you’ve used, like ArcGIS or MATLAB, and how you applied them in your previous projects or studies.

✨Bring Your Field Experience to the Table

If you've had any fieldwork or practical experience, make sure to highlight those experiences during your interview. Talk about specific projects where you collected data, conducted analyses, or made observations. This not only shows your hands-on skills but also demonstrates your commitment to the field.

✨Passion for Our Planet

As a full-time candidate, showing genuine enthusiasm for geoscience can set you apart. Think about what excites you most in this field, whether it's climate change, natural resources, or environmental conservation. Be ready to discuss what draws you to SynMax and how you can contribute to their ongoing projects.

✨Stay Curious and Ask Insightful Questions

Prepare some questions that reflect your keen interest in ongoing research or specific projects at SynMax. This stays in line with the collaborative nature of geoscience; it shows that you’re not just looking for a job but are genuinely interested in being part of a team that explores and solves real-world problems.