At a Glance
- Tasks: Own feature engineering and design experiments for ETA and Destination Forecast.
- Company: Kpler, a leading data intelligence company in commodities and maritime markets.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with analysts and product teams in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the maritime industry with your data skills.
- Qualifications: 2+ years of production ML experience and proficiency in Python and MLflow.
The predicted salary is between 50000 - 70000 £ per year.
Kpler, a data intelligence company for commodities, energy, and maritime markets, seeks a Data Scientist to own feature engineering and experimental design for ETA and Destination Forecast.
You will work with production ML pipelines, dbt models, and Airflow, collaborating with analysts and product teams to optimize predictive accuracy and monitor drift.
Ideal candidates have 2+ years of production ML experience, familiarity with geospatial data, and proficiency in Python and MLflow.
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Data Scientist: Maritime Cargo Forecast & Feature Eng employer: Kpler
Kpler is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data analysis in the metals market. With a strong emphasis on employee growth, Kpler offers numerous opportunities for professional development and skill enhancement, particularly in a vibrant location that encourages networking and industry engagement. Join us to be part of a forward-thinking team where your contributions directly impact our clients and the broader market landscape.
