Manager, AI / Data Scientist

Roles and Responsibilities:

• Act as an AI project leader by overseeing the development of major AI and Gen AI initiatives, managing stakeholders and ensuring project deadlines are met
• Develop AI and machine learning solutions to optimise business performance across different areas of the organisation;
• Overseeing multiple resources from AI Shanghai Company, ensuring effective resource management and maintaining a high standard of technical quality in all deliverables
• Identify actionable insights, suggest recommendations, and influence the direction of the business of cross-functional groups;
• Engage proactively with a diverse range of business stakeholders to ensure alignment with organizational objectives and adherence to business requirements
• Present GIO solutions to senior stakeholders, including C-level executives, and to take part in various committees and workshops
• Develop AI and Gen AI solutions for several business functions (i.e. distribution, operations, marketing, and risk) to increase business efficiency and improve customer experience;
• Manage in-country strategic initiatives related to model development and work closely with Business Units to guarantee the correct and timely implementation;

Minimum Job Requirements:

• Bachelor’s degree in a numerate discipline, e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science;
• At least 7 years of working experience, ideally with experience in AI and Gen AI;
• Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, TensorFlow/Pytorch);
• Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking, and implementation);
• Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained;
• Experience with a variety of machine learning techniques (clustering, decision tree, random forest, etc.);
• Knowledge of deep learning solutions and architectures – Convolutional Neural Network, Recurrent Neural Network and Transformers;
• Experience on building business application using Large Language Models
• Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes;
• Sound knowledge of programming in SQL or other programming experience;
• Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds;
• Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data and analytics