The role will report to the Data Analytics Manager of Information Technology, working on Data Science, AI & Machine Learning to build and maintain the data platform, models and tools that deliver data-driven decision making and operation at scale.
Responsibilities:
• Design, implement, validate and administer the machine learning platform on cloud-based Data Lakehouse;
• Implement, measure and optimise the performance of algorithms and models;
• Enhance data collection process for building advanced analytics;
• Perform the data analytic, predictive modelling develop automated data analytic & other processes;
• Working closely with project managers and commercial users to analysis the business requirements and translating them into technical requirements;
• Develop Proof of Concepts using cutting edge AI / Data Analytics technologies and industry best practices;
• Support senior management to build awareness and assess opportunities for AI / Data Analytics technologies to maximise value / impact of the function, and provide implementation recommendations;
• Work with Business and IT stakeholders to co-design implementation roadmap;
• Develop and maintain effective partnerships and teamwork through close collaboration with internal stakeholders, IT teams and external vendors for continuous improvement and innovation; and
• Perform other IT projects and assignments as directed.
Requirements:
• A bachelor's degree or above in Machine Learning, Computer Science, Statistics, Mathematics or related discipline;
• At least 5 years' experience in IT field and at least 3 years solid experience work as Machine Learning Engineer or Data Scientist;
• Experienced in working with large data sets in appropriate technologies, and in working with data engineers to build good data;
• Proficient in Machine Learning model development workflow and good understanding of data exploration, data processing, and feature engineering techniques;
• Track record of successful application of established Data Science, ML and statistical techniques to solve real-world problems in areas such as natural language processing and graph analytics;
• Experienced with data presentation tools such as Power BI / Qlik Sense / Tableau, to clearly articulate the outputs, conclusions and weaknesses of your models to both technical and non-technical stakeholders;
• Experience in Oracle Autonomous Database and/or cloud data lakehouse is an advantage;
• Passionate about the role Data Science can play in growing and empowering an organisation; and
• Good team player while be able to work independently with proficiency in problem solving and troubleshooting
