- Hong Kong Hong Kong
全职 Data Science Practitioner 工作, 薪水, Accenture Hong Kong 公司招聘中 - Ricebowl
工作地点
职位描述
岗位职责
About the Role
Accenture Song is looking for a Data Science Associate Manager to join our Data & AI practice. In this role, you'll partner directly with clients to design and deliver data science and AI-driven solutions that solve real business problems — from marketing optimization to next-generation agentic and generative AI applications. You'll act as both a hands-on technical contributor and a trusted advisor, translating complex analytical work into clear business value for senior stakeholders.
What You'll Do
Design, build, and deploy data science and machine learning solutions for customer and marketing use cases
Serve as a trusted advisor to client stakeholders, building strong working relationships and guiding technical decision-making
Apply emerging AI capabilities — including agentic systems, RAG, and knowledge graphs — to practical business problems
Translate complex technical findings into clear narratives and recommendations for both technical and non-technical audiences
Collaborate with cross-functional teams across data engineering, strategy, and creative to deliver end-to-end solutions
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Accenture Song is looking for a Data Science Associate Manager to join our Data & AI practice. In this role, you'll partner directly with clients to design and deliver data science and AI-driven solutions that solve real business problems — from marketing optimization to next-generation agentic and generative AI applications. You'll act as both a hands-on technical contributor and a trusted advisor, translating complex analytical work into clear business value for senior stakeholders.
What You'll Do
Design, build, and deploy data science and machine learning solutions for customer and marketing use cases
Serve as a trusted advisor to client stakeholders, building strong working relationships and guiding technical decision-making
Apply emerging AI capabilities — including agentic systems, RAG, and knowledge graphs — to practical business problems
Translate complex technical findings into clear narratives and recommendations for both technical and non-technical audiences
Collaborate with cross-functional teams across data engineering, strategy, and creative to deliver end-to-end solutions
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