Senior Data Scientist

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.

As a senior data scientist with Kpler's risk and compliance team, you will develop algorithms that detect deviations from normal maritime activity and 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:

1. Driving the design, rapid experimentation, development, testing, and deployment of data science models for flow forecast models and anomaly detection.
2. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly.
3. Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition.
4. Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy.

As a senior data scientist, you will:

1. Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies.
2. Work across the stack to deliver new features end-to-end, from prototyping to deployment and caring for data drift in production.
3. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits.
4. Own meaningful parts of our service, demonstrating the ability to lead projects independently and have an impact.
5. 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 analysis to technical and non-technical audiences. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects.

Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, PyTorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), AWS, Postgres, Apache Airflow, Apache Kafka, Apache Spark.

Mandatory requirements:

1. You have at least 5 years of experience in the DS role, deploying models into production.
2. You have proven experience delivering end-to-end ML solutions that produce business value.
3. You are proficient in Python.
4. You have expert knowledge of at least one cloud computing platform (preferably AWS).
5. You are fluent in English.

Nice to haves but not mandatory:

1. You have expertise on applications focusing on geospatial data and mobility analytics.
2. You have proven experience with big data technologies, specifically Spark and Kafka.
3. You have experience working with state-of-art ML pipeline technologies or building a ML pipeline by yourself.
4. You have a Ph.D. in a quantitative field (computer science, mathematics, physics, engineering).
5. You are familiar with the shipping industry and commodity trading.
6. You are comfortable with software engineering best practices.
7. You have experience working in an international environment.

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.

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.