PwCPosted 1mo ago

Digital Tax (AI Go-to-Market) - Manager / Senior Manager

Digital Tax (AI Go-to-Market) - Manager / Senior Manager at PwC scores 15 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

SingaporeseniorFull time

AI in this role

copilotlangchainllamaindexhugging-face

ml-ops

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Manager

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Our Digital Tax team comprises both Tax and Technology subject matter experts, working in tandem to transform and automate business processes across areas such as corporate income tax, transfer pricing, and goods and services tax. Using a combination of off-the-shelf applications and bespoke products, we provide effective digital solutions to ease the burden of manual processes so that efforts can instead be channelled into navigating the modern-day Tax landscape.

We partner with clients and internal stakeholders across various industries to understand their business landscape and needs, adopting a data-driven approach in driving value creation. By combining our industry expertise and technology-powered solutions, we are able to harness the power of information to optimise business performance and commercialise data opportunities.

How will you value-add?

A career in our Digital Tax Unit will provide you with the opportunity to work on Tax technology strategy and solutions. Specific responsibilities include but are not limited to:

Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualisation.
Develop prototypes to solve variety of business problems and work with stakeholders to bring prototypes to live.
Develop predictive modelling, statistics, data mining and other data analysis techniques to collect, explore and extract insights from data.
Mine and analyse data from data sources to develop new products offering or drive optimisation and improvement of product development, marketing techniques and business strategies.
Develop, utilise and maintain predictive/LLM models to identify targeted business outcome, measure business risk, and optimise user experiences.
Use data and predictive models to drive the development of risk mitigation strategies and interventions for clients while preserving and improving the user experience.
Manage end to end projects - clarify requirements and devise research approaches.
Develop Go-to-Market strategies, opportunities and lead client engagements.
Stay on top of current business and industry trends for AI.

About you

Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 5 - 7 years of working experience. Candidates with master’s degree will be preferred.
Must have strong proficiency in Python
Proficient in the use of machine learning, deep learning, LLMs
Familiar with data mining, algorithms, optimisations
Adequate experience working in a role within a financial / professional services firm or function in a development team
Experience in Unit/Integration testing
Experience with ML libraries (Hugging Face Transformers, LangChain, LlamaIndex)
Experience in visualising/presenting data for stakeholders. Displaying thorough written/verbal communication skills and ability to present and convey complex ideas to client & internal staff.
Familiar with building environments on cloud (Azure/Fabric, AWS, GCP)
Familiar with Microsoft applications (PowerBI, PowerAutomate, Copilot)
Familiar with modern web development stacks like MERN (MongoDB, Express.js, React, Node.js) and experience with building web applications, integrating APIs, SDLC (DevOps, Agile)
Basic design ability and prototyping - Knowledge of UI/UX and prototype design
Good to have experience with containerization (Docker, Kubernetes) and MLOps tools
Good to have experience with Go-to-market and client management

*Only shortlisted candidates will be notified due to the high number of applicants for this role.

#Mid-Senior #LI-AL1

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Relationship Building, Scenario Planning, Self-Awareness, Service Excellence, Statistical Analysis, Statistical Theory, Strategic Questioning {+ 6 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml OpsCopilotLangChainLlamaIndexHugging Face

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used Copilot in your day-to-day work.
What are the limits of LangChain that you've run into, and how did you work around them?
What's a project where you used LlamaIndex hands-on?
Walk me through how you've used Hugging Face in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Ml Ops, Copilot, LangChain, LlamaIndex, and Hugging Face. 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.

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