Data Scientist - Remote Sensing at Kpler

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. 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. What you’ll work on • Analyse and process SAR satellite imagery, with Sentinel-1 as a key data source. • 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. Responsibilities • 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. Skills and Experience • 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. Nice to have • 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? We make things happen We act decisively and with purpose, going the extra mile. We build
together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice