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Accenture

Advises businesses and runs their technology

Data Scientist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedHybrid

About the Job

Requirements

  • A master's degree or higher is required; computer science, AI, NLP, mathematics, statistics, or related majors are preferred.
  • At least 3 years of AI or algorithm research and development experience, including experience delivering enterprise-level large language model or agent systems.
  • Proficiency in Python and a strong foundation in machine learning, deep learning, and statistics.
  • Experience developing enterprise-level large language model or agent systems, with familiarity with prompt engineering, agentic workflows, tool calling, parameter-efficient fine-tuning (LoRA/QLoRA), and reinforcement learning.
  • Client-facing experience, with the ability to independently conduct requirements discussions, design solutions, and communicate technical matters to clients.
  • Strong software engineering capabilities and familiarity with Git and collaborative development workflows.
  • Ability to break down problems, communicate effectively, and drive projects.

Responsibilities

  • Design, develop, and optimize enterprise large language model, agent, and knowledge-augmented systems, including retrieval-augmented generation and GraphRAG.
  • Design and implement core capabilities including multi-agent collaboration, tool use, and memory management.
  • Build machine learning, deep learning, or generative AI solutions for business scenarios.
  • Collaborate with clients, business experts, product teams, and engineering teams to analyze requirements, design solutions, and deliver projects.
  • Track developments in AI technology and drive validation and implementation of new technologies.
  • Design and deliver enterprise AI solutions for clients across life sciences, intelligent manufacturing, fast-moving consumer goods, and high-tech industries, translating complex business problems into actionable AI solutions and driving delivery from proof of concept through production.

Desired Qualifications

  • In-depth understanding or practical implementation experience with knowledge systems such as ontologies, knowledge graphs, and taxonomies.
  • Experience designing retrieval-augmented generation, GraphRAG, or knowledge-augmented agent systems.
  • Familiarity and implementation experience with multi-agent systems, context engineering, memory management, or agent governance.
  • Familiarity and practical development experience with agent protocols or ecosystems such as MCP and A2A.
  • Project experience in life sciences, intelligent manufacturing, fast-moving consumer goods, or high-tech industries.
  • Participation in open-source projects or sustained contributions to technical communities.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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