Data Scientist

Posted Yesterday
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Beijing, CHN
In-Office
Mid level
Information Technology
The Role
Design, develop, and deploy enterprise LLM/Agent and knowledge-augmented AI systems (RAG/GraphRAG). Build multi-agent, tool-calling, memory and PEFT-enabled solutions. Collaborate with clients, product, and engineering teams from requirements to production, and track emerging AI research for applied validation.
Summary Generated by Built In

学历要求: 硕士及以上(计算机、AI、NLP、数学、统计等相关专业优先)
工作经验: 3年以上 AI/算法研发经验,具备企业级 LLM 或 Agent 系统落地经验

职位介绍

作为团队核心 AI 算法专家,你将面向生命科学、智能制造、快消及高科技等行业客户,负责企业级 AI 解决方案的设计与落地。你需要能够将复杂业务问题拆解为可执行的 AI 方案,并推动从 PoC 到生产环境的完整交付。

岗位职责

  • 负责企业级 LLM、Agent 及知识增强(RAG/GraphRAG)系统的设计、开发与优化。
  • 设计并实现多智能体(Multi-Agent)协作、工具调用(Tool Use)、记忆管理(Memory)等核心能力。
  • 结合业务场景构建机器学习、深度学习或生成式 AI 解决方案。
  • 与客户、业务专家、产品及工程团队协作,完成需求分析、方案设计及项目交付。
  • 跟踪前沿 AI 技术发展,推动新技术验证与落地。

    任职要求

    必备条件

    • 精通 Python,具备扎实的机器学习、深度学习及统计学基础。
    • 具备企业级 LLM 或 Agent 系统研发经验,熟悉 Prompt Engineering、Agentic Workflow、Tool Calling、PEFT(LoRA/QLoRA)、RL等技术。
    • 具备 Client Facing 经验,能够独立完成需求沟通、方案设计及客户技术交流。
    • 良好的软件工程能力,熟悉 Git 及团队协作开发流程。
    • 具备较强的问题拆解能力、沟通能力及项目推动能力。

    加分项

    • 对 Ontology、Knowledge Graph、Taxonomy 等知识体系有深入理解或实际落地经验。
    • 具备 RAG、GraphRAG、Knowledge-Augmented Agent 等系统设计经验。
    • 熟悉 Multi-Agent、Context Engineering、Memory Management、Agent Governance 等方向,并有落地经验。
    • 熟悉 MCP、A2A 等 Agent 协议或相关生态,并有实际开发经验。
    • 具备生命科学、智能制造、快消或高科技行业项目经验。
    • 参与过开源项目或在技术社区有持续贡献。

    About Accenture

    Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

    Visit us at www.accenture.com 

    Equal Employment Opportunity Statement

    We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

    Skills Required

    • Master's degree or above (Computer Science, AI, NLP, Mathematics, Statistics preferred)
    • 3+ years AI/algorithm R&D experience
    • Enterprise-level LLM or Agent system development experience
    • Proficient in Python
    • Solid foundations in machine learning, deep learning, and statistics
    • Familiarity with Prompt Engineering, Agentic Workflow, Tool Calling, PEFT (LoRA/QLoRA), and RL
    • Client-facing experience; able to lead requirements discussions and technical customer communication
    • Good software engineering skills and familiarity with Git and team development workflows
    • Strong problem decomposition, communication, and project-driving abilities

    Accenture Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

    • Healthcare Strength Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
    • Retirement Support Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
    • Parental & Family Support Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

    Accenture Insights

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    The Company
    HQ: Dublin
    456,553 Employees
    Year Founded: 1989

    What We Do

    Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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