顧問類(台北)- 管理顧問實習生(數據分析)【人資專案HR Project (People & Organization Services)】
PwC is hiring a 顧問類(台北)- 管理顧問實習生(數據分析)【人資專案HR Project (People & Organization Services)】 in Taipei, Taiwan. Level rates it ; you can apply on PwC.
Level's read on this job
- Works on AI ●●●○ is how Level rates this HR role: the daily work is on AI products, without building the model.
- The posting mentions Python, Excel and Power BI among its tools and skills.
- Level classes it as an internship.
- PwC has 3,800+ other open roles on Level.
- Posted in the last few days.
AI in this role
Management consulting intern focusing on HR data analytics, generative AI agents, and Python automation tools.
Job Description & Summary
「人才與組織變革諮詢服務」(People & Organization Consulting Service),隸屬於資誠聯合會計師事務所聯盟事業,我們團隊專注於協助企業客戶進行人才管理與組織轉型,以達到企業永續發展。我們正在招募具發展潛力的實習生加入團隊。你將參與數據驅動的人力資源專案,實際投入市場薪酬數據分析、生成式 AI 應用與 Python 工具實作,並接觸人資顧問專案執行,累積數據分析與數位工具應用的實務經驗。
**投遞履歷時請附上數據分析或簡報製作相關的專案或作品集,協助我們更具體的了解您的能力,謝謝。
-預計報到日:2026年11 月 (可討論)
-預計工作時間:實習期間至少六個月,每週能配合至少2.5天
-工作地點:資誠台北所(台北市信義區基隆路一段333號-國貿大樓)
-附勞健保及團保,以時薪計薪
工作任務:
作為顧問團隊的一員,您的任務包含但不限於:
數據分析與視覺化(60%)
-參與市場薪酬數據分析專案[MC1.1],實際投入從公開資料蒐集、清理與品質檢核、數據分析與視覺化,到市場洞察報告撰寫的完整流程,並依專案需求運用 Python、Excel、Power BI、PowerPoint 等工具。
-分析組織營運、員工問卷等專案數據,將分析發現轉化為視覺化圖表與初步洞察,並參與 Power BI 儀表板的維護與優化
生成式 AI 與 Python 工具應用(30%)
-依團隊需求建立、測試與優化生成式 AI Agent,並進行生成式 AI 指令設計(Prompt Design),支持議題研究、知識運用及專案執行。
-開發及優化 Python 工具,應用於資料處理、數據分析及重複性作業等情境,提升團隊工作效率。
專案支援與議題研究(10%)
-支援顧問簡報的製作與視覺優化
-參與顧問方法論開發、趨勢調研等前瞻性議題研究
-依專案需求,支援專案訪談、工作坊執行或擔任課程助教
-協助會議、活動籌備等團隊日常營運事務
你將獲得:
-數據分析實戰經驗:參與從資料蒐集、清理與品質檢核、分析與視覺化,到洞察報告撰寫的完整歷程,理解如何將原始資料轉化為具商業價值的分析成果。
-生成式AI 與工具實作機會:參與團隊內部生成式 AI Agent、指令設計及 Python 工具的建立與優化,累積運用新興技術改善工作流程的經驗。
-人資顧問專案實務:接觸薪酬、人才發展及員工意見調查等專案,學習以顧問思維拆解問題並提煉數據洞察。
-專業的指導與多元的學習資源:由專屬顧問教練(Coach)提供一對一指導,並透過與不同領域的資深顧問及部門最高主管互動,學習顧問方法、產業洞察與商業思維。組內開放的氛圍歡迎你隨時提問;你也能運用事務所豐富的學習資源,加速個人成長。
-表現優秀者有優先轉正機會
必要條件:
-學士三年級以上或碩/博士在學學生
-能於2026年10月至11月間到職,且實習期間至少六個月,每週能配合至少2.5天
-具基本資料分析與視覺化能力(Excel樞紐分析與函數、PowerPoint 圖表製作或其他類似工具)
-具備統計知識與數據思維,重視資料與產出品質
-具備 Python 基礎,曾修習相關課程或完成基礎專案
-主動積極且樂於學習,具問題分析與解決、溝通表達、及團隊合作能力
加分條件:
-具備Python 實作經驗,能運用 Pandas, NumPy 等套件進行資料清理與分析
-具備生成式 AI 應用或 Vibe Coding 經驗,曾建立 AI Agent 或自動化工具者尤佳
-曾使用 Power BI 等 BI 工具建立儀表板
-對人力資源、組織發展或管理顧問領域抱有高度興趣
-具備良好的中、英文溝通能力,TOEIC 800 分以上或相當程度者尤佳
How we rate this
顧問類(台北)- 管理顧問實習生(數據分析)【人資專案HR Project (People & Organization Services)】 at PwC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in HR jobs at this level
Pay
- Typical HR job
- $120k
This posting doesn't list pay. Use the typical HR figure when pay comes up. See HR jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where prompt design was part of your work. What did you do?
- Tell me about a project where visualization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, Data Analysis, Prompt Design, and Visualization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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