WPR-73640
Data Science & Analytics
Published project
Project Budget
EUR 58,000 – 87,000
Berth Congestion Forecasting for a Short-Sea Shipping Operator
A short-sea carrier needs earlier warning of berth delays that disrupt vessel rotations and customer commitments. The data scientist will combine internal schedules with available port, weather and historical turnaround information to create a useful planning signal rather than a perfect academic forecast.
Industry Sector
General Industry
Work Arrangement
remote
Project Sourcing
WPR-73640 (Project reference)
Published Date
8/25/2026
Detailed Scope of Work & Deliverables
DETAILED SCOPE & MILESTONES
1. Reconcile planned and actual arrival, berth, cargo and departure events; define delay outcomes and the operational lead
times that matter.
2. Create features from vessel sequence, terminal patterns, weather and calendar effects; compare transparent baselines with
machine-learning models.
3. Build a planner dashboard showing probability ranges, contributing factors and recommended review points for the next
seven days.
4. Run a live shadow trial, assess economic usefulness and deliver production requirements, monitoring logic and retraining
guidance.
Required Competencies & Skills
Data ScienceData AnalyticsData EngineeringSQLpython
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