Digital Tax (AI Go-to-Market) - Manager / Senior Manager
PwC is hiring a Digital Tax (AI Go-to-Market) - Manager / Senior Manager in Singapore, Singapore. Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include Copilot, LangChain and LlamaIndex.
- Level classifies it as a senior role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
Lead digital tax initiatives by developing predictive and LLM models to optimize tax processes and product offerings.
Line of Service
TaxIndustry/Sector
Not ApplicableSpecialism
Product InnovationManagement Level
ManagerJob 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 SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
YesJob Posting End Date
How we rate this
Digital Tax (AI Go-to-Market) - Manager / Senior Manager at PwC rates 75 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
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where product innovation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Data Analytics, Predictive Modeling, Machine learning, and Product Innovation. 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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