Data Scientist

Kpler

Data Scientist leveraging machine learning to enhance cargo predictions in the maritime sector. Join a diverse team focused on delivering impactful intelligence solutions.

Posted 7/6/2026full-timeLondon • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftPythonSQL

About the role

Key responsibilities & impact

Own the feature engineering roadmap for ETA & Destination Forecast across all 4 commodity types.
Propose and implement new features as dbt models using Airflow to orchestrate the data pipelines.
Validate their impact through structured experiments.
Design and run experiments using kpler-ml framework.
Work directly with Commodities Market Analysts and product stakeholders.

Requirements

What you’ll need

2+ years applying ML to real-world production problems — not research or hackathon work, but models running in production with real consequences for errors
Experience with geospatial or sequential data — vessel trajectories, routing patterns, H3/S2 grid systems, or equivalent spatial representations
Python proficiency at a level sufficient to implement new features, write dbt models, and script experiments — not just use notebooks
Familiarity with MLflow or equivalent experiment tracking (Weights & Biases, Neptune, etc.)
Desirable: Domain knowledge of maritime shipping, commodity trading, or cargo intelligence
Familiarity with Redshift or columnar warehouses for large-scale feature queries and dbt (authoring or reading SQL models)

Benefits

Comp & perks

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on.
Inclusive and diverse work environment.
Access to cutting-edge innovation for impactful results.

ATS Keywords

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Hard Skills & Tools

Feature EngineeringMachine LearningPython ProgrammingSQL ModelingData Pipeline Orchestration