Kerja Information Optimization (Intern), Gaji tinggi SGD 1,500 di Grand Banks Marine Group - Maukerja

Grand Banks Marine Group is a Singapore-listed builder of luxury motor yachts, bringing together four brands under one advanced global shipyard: Palm Beach (PB), Grand Banks (GB), Grand Tourer (GT) and Eastbay (EB). Seventy years of craftsmanship stand behind the name, and today, that craftsmanship is being paired with a new generation of digital tools and talent.
GBM’s ambition is to transform the way we operate into a digital shipyard : a live, connected model of the six-stage build process (Pre-Contracts, Design, Purchasing & Stores, Production, Quality Control and Commissioning, Delivery) where every build's data (jobsheets, CRM, schedule, cost, quality) is linked from contract to delivery, enabling efficiencies and close client relationships.

At GBM, a student or graduate joining the digital transformation effort isn't maintaining a mature platform. You are helping to build the data foundation of an organization from the ground up, with direct visibility to management and a real production floor to test ideas against.

If you are interested in AI, applied engineering or digital transformation in the engineering / manufacturing industry, this is a chance to apply core technical skills to a company focused on high quality and efficiency, that is just beginning its digital journey.

Responsibilities (including, but not limited to)

• Understand the process of yacht building; identify improvement areas and propose solutions
• Possible Posting to Design; PCM; Production Departments for workflow improvements
• Link CRM, client jobsheets, design and production records into a unified, build-level dataset
• Model client behaviour and requirements, and production timelines (stage duration, delay risk, rework rate), etc.
• Explore predictive or deep-learning approaches to support scheduling, capacity planning and pricing decisions
• Prototype a decision-support tool, dashboard or data pipeline, depending on project scope
• Document findings clearly for management

Skills:

• AI-management and/or Applied Engineering background
• ML and deep-learning fundamentals
• Data visualisation and dashboarding
• Comfortable working with ambiguous, incomplete real-world data
• Clear communicator — able to explain technical findings to non-technical stakeholders
• Enjoys dealing with real-life problem statements and finding solutions
• Enjoys working hands-on on the production floor to understand workflows and processes
• Competent with project management tools

If Capstone Project (developed together with management):

• Identify Problem Statement for workflow or department
• Apply Human-centred Design Thinking and Tools for Solution Proposal
• Prepare management approval brief on process and roadmap (if longer term)
• Develop a working prototype decision-making solution tool