PwC顧問類(台北)-顧問/資深顧問 (AI/ML模型建置)(金融業)
PwC is hiring a 顧問類(台北)-顧問/資深顧問 (AI/ML模型建置)(金融業) in Taipei, Taiwan. Level rates it ; you can apply on PwC.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include Python, R and SAS.
- Level classifies it as a senior role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
Lead AI/ML consultant to design and deliver machine learning and generative AI solutions for financial industry clients.
Job Description & Summary
你是否準備好，將頂尖的 AI/ML 技術轉化為金融業的真實影響力？我們正在尋找一位經驗豐富的 AI/ML 專家，你將不只是一位技術執行者，更是客戶信賴的策略夥伴。你將帶領團隊，從商業挑戰的核心出發，設計並交付高品質的 AI 解決方案，驅動金融客戶的數位轉型與創新，並在市場中建立關鍵競爭優勢。
此職位需運用生成式AI（Gen AI）及機器學習（ML）技術，協助金融產業客戶解決業務挑戰、提升作業效率與優化決策流程。
我們期待您能將 AI／ML 技術應用於實際金融商業場景，協助客戶在數位轉型浪潮中保持競爭力、加速創新、並提升營運效能。
工作內容：
數據處理與模型建置:
釐清客戶核心需求，將商業問題轉化為 AI／ML 解決方案，應用於金融業務場景。
建置及優化機器學習模型（如：信用風險、推薦系統、異常偵測等），並進行模型驗證與效能調校，確保模型的穩健性與準確性。
運用 Gen AI 技術（如：LLM 微調、RAG 架構、Prompt Engineering）開發與優化生成式 AI 應用。
研究與導入AI、Machine Learning相關技術與工具。
商業洞察與報告呈現：
透過數據視覺化工具，呈現分析結果與模型輸出，提供客戶具體分析成果與建議。
協助其他主管交辦事項，彈性支援團隊內的其他分析或專案需求。
背景／能力要求
具備 5 年以上 AI/ML 相關專案經驗，並有主導或獨立完成專案的實績。
擁有深厚的 Python/R/SAS 編程與數據處理能力。
熟悉主流機器學習框架及 Gen AI 應用（如 LLM 微調、RAG 架構）。
擁有將技術成果轉化為商業洞察，並對客戶或內部決策者進行有效溝通的經驗。
你將具備的特質
策略思維與商業敏銳度：你不只看見技術，更能洞察其背後的商業價值，並為客戶提供策略性建議。
影響力與領導力：你善於引導團隊、啟發他人，並能與客戶建立信任，共同推動專案成功。
為什麼選擇 PwC？
在 PwC，我們致力於協助你持續成長、走得更遠。我們的人才價值主張代表你將能：
參與具影響力的專案，為企業與社會創造改變
持續投入學習、導師制度與職涯發展
在鼓勵創新與重視想法的文化中發揮所長
在重視多元與共融的環境中工作，讓每個人都能被看見與被尊重
下一步
如果你準備好在PwC展開職涯並創造實質影響，我們期待你的加入。
👉 立即申請，踏出在 PwC 發展的第一步。
Grow here. Grow further.
How we rate this
顧問類(台北)-顧問/資深顧問 (AI/ML模型建置)(金融業) at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where model fine tuning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, Machine learning, Generative AI, and Model Fine Tuning. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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