Data Scientist - Remote Sensing

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. We build data products that transform satellite imagery into reliable, operational insights at global scale. As part of our remote sensing team, you will work primarily with SAR imagery (including ESA Sentinel-1)and optical imagery, while contributing to a platform that increasingly integrates multiple satellite providers and sensing modalities.This role is designed for a mid-level data scientist or remote sensing engineer who enjoys applied remote sensing, working with complex geospatial data, and seeing algorithms evolve from research into production systems., + Apply spatio-temporal analysis to detect, classify, and monitor physical activity and assets over time.

• Design methods that generalise across different satellite providers.
• Combine SAR with complementary data sources where relevant.
• Build and improve production-grade processing pipelines.
• Collaborate with engineers to integrate outputs into APIs and customer-facing applications.
• Improve model robustness, performance, and interpretability., *
• Develop and maintain remote sensing and computer vision pipelines.
• Apply machine learning, statistical, or signal-processing techniques.
• Contribute across the full lifecycle from exploration to production.
• Work with heterogeneous data sources and evolving schemas.
• Improve processing performance and scalability.
• Participate in code reviews and engineering best practices.

• 3-6 years of experience in remote sensing or applied data science.
• Strong Python proficiency.
• Hands-on experience with SAR data (Sentinel-1 strongly preferred).
• Experience with satellite time series and geospatial data.
• Familiarity with rasterio, shapely, geopandas, xarray, or equivalent.
• Ability to deliver production-ready workflows.
• Solid software engineering fundamentals., + Experience with ESA Sentinel missions.
• Exposure to change detection, object detection, or anomaly detection.
• Experience with multiple satellite data providers.
• Familiarity with Airflow or similar tools.
• CV / ML frameworks (OpenCV, PyTorch, TensorFlow).
• Cloud experience and SQL/Postgres.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us?

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.