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Research Scientist (Machine Learning & Data Analytics)

WILMAR INTERNATIONAL LIMITED

Data & AIProfessionalFull-timePasir Panjang, Hong Leong Garden, Clementi New Town, Singapore

Job Description

Company Overview Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people. Position Overview We are currently recruiting for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar’s factories or R&D centers to help in understanding product quality, formulate new products, and predict future outcomes. Main Responsibilities Main responsibilities of the incumbent (not limited to): • Manage and preprocess data • Ability to code and script based on specified tasks • Statistical analysis and machine learning experience in the following areas:     - Optimization algorithms     - Supervised learning     - Unsupervised learning     - Sampling algorithms • Versatile in applying computational techniques to solve open problems • Strong ability in summarizing results for reporting purposes • Participate in seminars and research-in-progress meetings within the team and collaborators • Write and publish scientific papers and patents Job Requirements • At least a Masters or PhD in any of the following areas: statistics, data science or computer science • Team player and ability to communicate technical concepts to lay people • Ability to code in a few languages - R, python, java, bash • Positive learning attitude towards new ideas

Listing closes 5 Dec 2026.

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