Holland America Line is looking to optimize revenue and enhance understanding and decision-making within their business by developing new opportunities through data science.
Requirements
- Proficiency using MS office Suite including Outlook & MS Teams
- A high-class Masters’ Degree in a quantitative discipline such as Operations Research, Engineering, Applied Mathematics, Applied Statistics, AI or related field
- Experience in at least one coding language such as R, Python, C++ etc…
- Strong analytical capabilities with a high level of attention to detail
- Creative and innovative problem-solver
- Ability to communicate technical information to non-technical audiences
Responsibilities
- Design and build proof of concept models for an improved channel forecasting and optimization methodology, to be used by Holland America and Seabourn forecasting teams to determine the likely revenue and occupancy for our ships. This variable should consider past channel mix and growth objectives, marketing revenue, associated revenues and booking pace.
- Apply and adapt knowledge and experience of theoretical, mathematical concepts to develop advanced modelling and analytics to understand the relationship between individual voyages (from pre-cruise and post-cruise surveys) and the overall trade by integrating capacity sensitivity models
- Develop suitable analytics visualization to create tools and analyses that accurately reflect the underlying mathematics whilst being visually engaging and easy-to-use for the business teams. Lead the implementation of this with the deployment and Shore Excursion teams.
- Work closely with senior stakeholders to ensure the relevancy and usability of all models and tools delivered is maintained; Use strategic and tactical thinking to determine how to best manage and configure the models to best reflect current business activity and future.
- Prove the validity of your models by verifying their predicted outputs against recent sailed cruises.
- Suggest further opportunities as appropriate to continue to develop and enhance our modelling capability in this space.
Other
- Eligible candidates enrolled in a Graduate or Ph.D. program and have a GPA of 3.0 or higher.
- MUST NOT be a graduating in the summer 2026.
- Ability to work independently, remotely and self-manage
- Well organized and able to communicate effectively with colleagues and managers.
- Ability to work both independently and collaboratively
