Senior Data Scientist - Maritime Risk and Compliance

​​At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform.

Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries.

Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide.

Purpose of the role:Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity.

As a senior data scientist with Kpler’s risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data.

Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner.Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data.Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance.

As a senior data scientist, you will:

• Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies.
• Work across the stack to deliver new features end to end.
• Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits.
• Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company.
• Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features.
• Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration.
• Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects.
• Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems.

Our Machine Learning tech stack includes:

• Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2).
• AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark.

Mandatory requirements:

• You have at least 5 years of experience in DS role, deploying models into production;
• You have proven experience delivering end-to-end ML solutions that produced business value.
• You have proven experience with big data technologies, specifically Spark and Kafka
• You are proficient in Python.
• You have expert knowledge of at least one cloud computing platform (preferably aws).
• You are fluent in English.

Nice to haves but not mandatory:

• You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable).
• You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering…).
• You are familiar with the shipping industry and/or commodity trading.
• You are comfortable with software engineering best practices.
• You value code simplicity, performance and attention to detail.
• You have experience working in an international environment.