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Graduate Development Program (Data Analytics & Data Sciences) - DFS5218128 in Singapore at DFS

Date Posted: 11/25/2018

Job Snapshot

Job Description

The Graduate Development program is designed to provide an unparalleled opportunity for candidates to learn all aspects of Technology in our luxury travel retail business. These learning opportunities take the form of hands on experiential learning. Management Trainees are assigned departmental responsibilities including special assignments and projects and interact with managers, coaches and mentors throughout DFS during the 18-month rotational program. During the program, key skills are established that will anchor Management Trainees in their Technology career.

Key Responsibilities:
Under the guidance of an experienced manager/coach/mentor/HR Expert, Hands-on Exposure in key Technology areas of:
• Omnichannel Customer Systems
• Business Intelligence, Data Analytics & Data Science, Big Data
• Back Office Enterprise Core Systems
• Software Engineering & Testing, Continuous Delivery
• Enterprise Architecture, Solution Architecture
• Infrastructure, Smart Store, Employees Productivity Systems People Management
• Develop the appropriate people and communication skills that will strengthen leadership capabilities
• Work in a multi-disciplinary team and learn how to formulate problems in a commonly understandable language Projects
• Participate actively in and collaborate with others to ensure projects are completed effectively and on time
• Inspire others with state of the art techniques and fresh ideas to approach existing/new problems General
• Carry out other duties and responsibilities assigned from time to time
• Participate in building out key capabilities and prototypes in the Data Science Hub

Key Requirements:
Students should possess a Bachelor degree from any of the disciplines indicated below or any other relevant disciplines.
• Computer Science / Information Technology
• Business Analytics
• Data Science and Analytics
• Applied Mathematics or with Specialisation in Mathematical Modelling and Data Analytics (MMDA)
• Statistics
• Mathematical Sciences
• Data Science and Artificial Intelligence In addition, the candidates should possess the key qualities indicated below:
• Strong interpersonal, communication and presentations skills.
• Special sensitivity to work in a multicultural environment.
• Ability to learn on the fly.
• Ability to manage ambiguity and complexity.