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As a Senior Data Analytics (AI/Machine Learning), you will lead data-driven initiatives and leverage advanced analytics to deliver actionable insights. This is a temporary role in the financial services industry
This role leads a team of data engineers supporting a cloud-based data platform that enables large-scale analytics and machine learning workloads. Success requires strong leadership, deep expertise in Spark on AWS EMR, and the ability to design scalable, governed data solutions.
Senior Analyst (5+ years experience) - Lead advanced analytics and AI/ML projects, drive business impact, and mentor others.Analyst (3+ years experience) - Apply predictive models and machine learning to solve real business challenges and grow your expertise
The role of a Data Analyst in the insurance industry focuses on analysing and interpreting data to support the analytics department. Based in Hong Kong, this temporary position requires a detail-oriented professional with strong analytical skills.
Join a leading innovation and technology firm supporting high-growth startups, investors, and strategic partners across Hong Kong and the Greater Bay Area. This role combines startup relationship management, partnership development, portfolio support, helping innovative companies scale through strategic collaborations and ecosystem engagement.
This role focuses on building and maintaining enterprise-grade data platforms, ETL pipelines, and cloud-based data solutions. The ideal candidate brings strong Java/Python expertise, extensive data engineering experience, and knowledge of financial market operations.
The role of Data Engineer in the insurance industry involves building and maintaining data pipelines and ensuring data is clean, accessible, and secure. This position is based in Wong Chuk Hang and requires expertise in data engineering within the technology department.
Support the operation and maintenance of critical Data Center facilities, ensuring reliability, compliance, and service excellence. Partner with vendors and internal teams to drive operational efficiency and continuous improvement.
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