PAN-UNITED TECHNOLOGIES PTE. LTD. Hiring! Full Time Data Scientist in Central Region (Singapore), Earn up to SGD 7,500 - Ricebowl

Job Description:

• Manage the day-to-day operations of the AIM team, providing technical guidance, coaching and mentoring to support project delivery and team development.
• Collaborate with departments to understand business requirements and identify opportunities for data-driven decision-making.
• Manage and perform data mining, engineering, modelling and visualisation using programming languages to transform raw data into actionable insights.
• Develop and implement analytics solutions using data mining, machine learning and natural language processing (NLP) to analyse structured and unstructured datasets.
• Develop and implement quality controls and departmental standards to meet organisational and regulatory requirements.
• Manage analytics and information management risks and issues, escalating where necessary to the Group Head, IT.
• Stay updated on emerging technologies and trends in analytics, AI and information management.
• Collaborate with departments to develop data visualisation tools, interactive dashboards and dynamic reports to support business decision-making.
• Prepare and deliver technical presentations to stakeholders, showcasing the company's solutions and services.
• Develop and deliver product demonstrations and proof-of-concepts (POCs) to showcase the company's offerings.
  

Job Requirements:

• Master's degree in Computer Science/ Information Technology or equivalent
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Proficient in a programming language (Python, Java, SQL)
• Experience/Knowledge in Operation Research (OR) is would be an advantage
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Additional experience in data visualization and/or knowledge of reinforcement learning is a plus