kpler - Data Scientist

London / Greece / Hungary3w ago

In Office Mid EMEA Shipping Tourism Data Scientist Quant MLflow Documentation Product Marketing Reporting Python

Requirements

• 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.) • Domain knowledge of maritime shipping, commodity trading, or cargo intelligence — understanding what a port call sequence or a vessel's draught profile means physically, not just statistically • Familiarity with Redshift or columnar warehouses for large-scale feature queries and dbt (authoring or reading SQL models) • 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.

Responsibilities

• 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, and validate their impact through structured experiments. • Design and run experiments using kpler-ml framework, logging all runs from train to evaluation to MLflow and producing structured comparison reports against the production baseline before any promotion. • Work directly with Commodities Market Analysts and product stakeholders to understand where prediction quality matters most commercially — and use that to prioritise the experiment backlog. • Contribute to the drift monitoring setup — validate PSI/KS thresholds using MLFlow against historical inference batches; define what constitutes a meaningful drift signal for PE and DF specifically. • Document experiment decisions in MLflow and Confluence documents — the experiment history is a first-class artifact, not an afterthought.