Do you have passion for data mining and machine learning algorithms? Do you aspire to build digital solutions powered by machine learning algorithms? Are you a strong communicator and problem solver and looking for an opportunity to transform business requirements into digital products?
This is an opportunity to join Maersk Digital team and help drive visible, recognizable change as a Data Scientist for this globally respected, industry leading brand.
This position offers the unique opportunity to develop and apply cutting-edge knowledge of data science related methods and tools to create results and insights that will accelerate the transformation of our business model, and to work with business specialists across Maersk Group.
Maersk Digital team is committed to extracting patterns and insights from data by the application of domain expertise, tools and technology, and is specialized in statistical modeling, forecasting, optimization and machine learning. The team is at the forefront of developing industry leading digital solutions & applications for the organization.
This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics.
At A.P. Moller - Maersk we focus on the individual’s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.
As a Data Scientist you will participate in various projects with strong support from fellow dedicated team members, to influence business decisions, drive digital transformation at one of the largest companies in the world.
Your responsibilities will be to:
We are looking for
A.P. Møller – Mærsk A/S, also known simply as Maersk, is a Danish shipping company, active in ocean and inland freight transportation and associated services, such as supply chain management and port operation. Maersk was the largest container shipping line and vessel operator in the world from 1996 until 2021.