Digital Tax (AI Go-to-Market) - Manager / Senior Manager
Role description
From the employerLine 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