We design and build analytics and AI solutions that help colleagues worldwide plan smarter, operate more reliably, and serve customers better — from network and capacity decisions to customer experience, finance, and terminal & inland operations.
We own the end-to-end data and AI ecosystem — from strategy and governance to platforms, products, and production-grade AI.
That means building scalable data foundations, enabling self-service insights, and delivering AI that works in real operations: measurable, monitored, and continuously improved.
You’ll work in small, cross-functional teams together with specialists across the business. You share a mission with a diverse group of like-minded Data Scientists, ML Engineers, Data Engineers, Analytics Engineers, and Visualization Experts — plus colleagues with deep shipping and logistics expertise who keep our work grounded in reality.
We operate as a partner to the business: embedded where priorities are set, present where processes are designed, and accountable when solutions need to perform at scale.
We work across the full lifecycle: shaping use cases early, defining data products and metrics, validating quality before go-live, and running solutions reliably in production — so teams can move fast with confidence.
Our Data & AI stack and standards:
- Strong foundations at scale — governed platforms for ingestion, storage, processing, and serving, so teams can build on stable ground.
- Trusted data products — clear ownership, documentation, lineage, and quality controls that make data reusable (not “one-off”).
- One language for performance — consistent KPIs and semantic layers so decisions don’t depend on whose dashboard you open.
- Self-service analytics — curated datasets and BI enablement so teams can answer questions independently.
- Advanced analytics & AI — forecasting, optimization, and decision support that improves planning, utilization, and customer outcomes.
- MLOps & reliability — versioning, testing, monitoring, and retraining, so models stay accurate when the world changes.
- Responsible AI — practical guardrails for transparency, security, and human-centric design.
Our job is to make data-driven delivery the default, reduce uncertainty for product and business teams, and ensure Hapag-Lloyd can scale innovation responsibly.
In short, we turn Hapag-Lloyd’s data into a trusted advantage — so the business can move faster, operate smarter, and deliver reliably in a world that never stands still.
What is the fastest way to route a shipment of pharmaceuticals from Daegu, Korea, to Kumasi, Ghana?
What pricing strategy minimizes opportunity costs in a world characterized by global trade imbalances?
How will the cherry season in Chile impact vessel capacities in the Pacific Ocean?
In the exciting environment of global trade, questions like these shape our business. The Data Insights & AI team designs and builds analytics solutions to provide insightful answers to our colleagues worldwide. Together with specialists across the business, we work in small, cross-functional teams. You share an office with a diverse team of like-minded Data Scientists, Visualization Experts, Data Engineers, and colleagues with in-depth knowledge about our business.